https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539en-USTelligent Community 12https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539Fri, 25 Feb 2022 08:24:00 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:297818a9-71e6-497a-acc6-b17a5ac7605dMatthttps://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539#commentsCurrent Revision posted to Documents by Matt on 2/25/2022 8:24:00 AM<br /> <p style="margin:0;"><a href="https://www.youtube.com/watch?v=Vi_VOmhXQw8">www.youtube.com/watch</a><br /><span></span></p> <p style="margin:0;padding:0px;">&nbsp;</p> <p style="background-color:#e9f6fc;border:1px solid #b8d7e5;margin:0;max-width:744px;padding:8px;">Adam had often wondered about the steps to create his own object detection machine learning model to be used on a microcontroller. How hard would it be to create one? Can simpler methods like Google&rsquo;s teachable machine work for object detection? Or, will less intuitive methods like Tensorflow be more fruitful? Watch to find out what methods worked to identify soda cans and bottles.</p> <p style="margin:0;padding:0px;">&nbsp;</p> <h3 id="mcetoc_1fsgq27gt1">Supplemental Content:</h3> <p style="margin:0;padding:0px;">Generally followed this guide for the COLLAB and some Anaconda attempts: <a href="https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html" rel="noopener noreferrer nofollow" target="_blank" data-e14adj="t">https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Also, I followed this guide for another attempt with COLLAB and Anaconda <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md" rel="noopener noreferrer nofollow" target="_blank" data-e14adj="t">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Both guides had problems with package versions for me. This is the guide I followed to have the Google Model work. The general google model I used is included in this github. <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi" rel="noopener noreferrer nofollow" target="_blank" data-e14adj="t">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi</a></p> <p style="margin:0;padding:0px;"></p> <h3 id="mcetoc_1fsgq27gt1">Bill of Material:</h3> <p></p> <table class="e14-product-bom-main"> <tbody> <tr> <th>Product Name</th> <th>Manufacturer</th> <th>Quantity</th> <th><a id="e14-product-link-af9c9" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982,3051887&nsku=03AC4947,02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_BUY_KIT" class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('af9c9'));" data-farnell="2675982,3051887" data-newark="03AC4947,02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Kit</a> </th> </tr> <tr> <td>HD PRO WEBCAM, 3MP, 720P</td> <td>LOGITECH</td> <td>1</td> <td><a id="e14-product-link-c235b" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982&nsku=03AC4947&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('c235b'));" data-farnell="2675982" data-newark="03AC4947" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr> <td>Raspberry Pi 4 Model B 4GB</td> <td>Raspberry-Pi</td> <td>1</td> <td><a id="e14-product-link-39c90" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3051887&nsku=02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('39c90'));" data-farnell="3051887" data-newark="02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="SC15185" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr class="xs-hide"> <td>&nbsp;</td> <td></td> <td></td> <td></td> </tr> </tbody> </table> <h2 id="mcetoc_1frutddo20"><span style="color:#3334ca;"></span></h2> <div style="background:#ffffff;border:1px solid #dadada;margin:0;padding:14px 16px 16px 18px;vertical-align:top;"> <div style="display:inline-block;float:left;padding:0px 25px 8px 0px;"><a href="/challengesprojects/element14-presents/" data-e14adj="t"><img alt="element14 presents" src="/e14/assets/legacy/2018/e14PresentsJune818.png" width="180px" /></a></div> <div style="display:inline-block;vertical-align:top;width:70%;"><br /> <p style="margin:0;"><span><a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/" data-e14adj="t">element14 presents</a></span>&nbsp; <strong>|</strong>&nbsp; <a class="jive-link-wiki-small" href="/challengesprojects/element14-presents/vcp-program/w/documents/4908/vcp-biography-adam" data-e14adj="t">About Adam</a> <span style="padding-right:5px;"> </span><strong>|</strong>&nbsp; <a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/project-videos/" data-e14adj="t">Project Videos</a></p> <p style="margin:0;"></p> </div> </div><div style="clear:both;"></div> <div style="font-size: 90%;">Tags: object classification, tensorflow, python, neural networks, e14p_AS, pi4, object detection, Google Teachable Machine, opencv, machine learning, Google Collab, recycling, Adam, friday_release</div> https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539/revision/9Thu, 30 Mar 2023 17:21:30 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:297818a9-71e6-497a-acc6-b17a5ac7605dtariq.ahmadhttps://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539#commentsRevision 9 posted to Documents by tariq.ahmad on 3/30/2023 5:21:30 PM<br /> <p style="margin:0;"><a href="https://www.youtube.com/watch?v=Vi_VOmhXQw8">www.youtube.com/watch</a><br /><span></span></p> <p style="margin:0;padding:0px;">&nbsp;</p> <p style="background-color:#e9f6fc;border:1px solid #b8d7e5;margin:0;max-width:744px;padding:8px;">Adam had often wondered about the steps to create his own object detection machine learning model to be used on a microcontroller. How hard would it be to create one? Can simpler methods like Google&rsquo;s teachable machine work for object detection? Or, will less intuitive methods like Tensorflow be more fruitful? Watch to find out what methods worked to identify soda cans and bottles.</p> <p style="margin:0;padding:0px;">&nbsp;</p> <h3 id="mcetoc_1fsgq27gt1">Supplemental Content:</h3> <p style="margin:0;padding:0px;">Generally followed this guide for the COLLAB and some Anaconda attempts: <a href="https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html">https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Also, I followed this guide for another attempt with COLLAB and Anaconda <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Both guides had problems with package versions for me. This is the guide I followed to have the Google Model work. The general google model I used is included in this github. <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi</a></p> <p style="margin:0;padding:0px;"></p> <h3 id="mcetoc_1fsgq27gt1">Bill of Material:</h3> <p></p> <table class="e14-product-bom-main"> <tbody> <tr> <th>Product Name</th> <th>Manufacturer</th> <th>Quantity</th> <th><a id="e14-product-link-1b725" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982,3051887&nsku=03AC4947,02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_BUY_KIT" class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('1b725'));" data-farnell="2675982,3051887" data-newark="03AC4947,02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Kit</a> </th> </tr> <tr> <td>HD PRO WEBCAM, 3MP, 720P</td> <td>LOGITECH</td> <td>1</td> <td><a id="e14-product-link-9641c" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982&nsku=03AC4947&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('9641c'));" data-farnell="2675982" data-newark="03AC4947" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr> <td>Raspberry Pi 4 Model B 4GB</td> <td>Raspberry-Pi</td> <td>1</td> <td><a id="e14-product-link-84188" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3051887&nsku=02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('84188'));" data-farnell="3051887" data-newark="02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="SC15185" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr class="xs-hide"> <td>&nbsp;</td> <td></td> <td></td> <td></td> </tr> </tbody> </table> <h2 id="mcetoc_1frutddo20"><span style="color:#3334ca;"></span></h2> <div style="background:#ffffff;border:1px solid #dadada;margin:0;padding:14px 16px 16px 18px;vertical-align:top;"> <div style="display:inline-block;float:left;padding:0px 25px 8px 0px;"><a href="/challengesprojects/element14-presents/"><img alt="element14 presents" src="/e14/assets/legacy/2018/e14PresentsJune818.png" width="180px" /></a></div> <div style="display:inline-block;vertical-align:top;width:70%;"><br /> <p style="margin:0;"><span><a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/">element14 presents</a></span>&nbsp; <strong>|</strong>&nbsp; <a class="jive-link-wiki-small" href="/challengesprojects/element14-presents/vcp-program/w/documents/4908/vcp-biography-adam">About Adam</a> <span style="padding-right:5px;"> </span><strong>|</strong>&nbsp; <a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/project-videos/">Project Videos</a></p> <p style="margin:0;"></p> </div> </div><div style="clear:both;"></div> <div style="font-size: 90%;">Tags: object classification, tensorflow, python, neural networks, e14p_AS, pi4, object detection, Google Teachable Machine, opencv, machine learning, Google Collab, recycling, Adam, friday_release</div> https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539/revision/8Thu, 07 Jul 2022 21:22:29 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:297818a9-71e6-497a-acc6-b17a5ac7605dsaradetwilerhttps://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539#commentsRevision 8 posted to Documents by saradetwiler on 7/7/2022 9:22:29 PM<br /> <p style="margin:0;"><a href="https://www.youtube.com/watch?v=Vi_VOmhXQw8">www.youtube.com/watch</a><br /><span></span></p> <p style="margin:0;padding:0px;">&nbsp;</p> <p style="background-color:#e9f6fc;border:1px solid #b8d7e5;margin:0;max-width:744px;padding:8px;">Adam had often wondered about the steps to create his own object detection machine learning model to be used on a microcontroller. How hard would it be to create one? Can simpler methods like Google&rsquo;s teachable machine work for object detection? Or, will less intuitive methods like Tensorflow be more fruitful? Watch to find out what methods worked to identify soda cans and bottles.</p> <p style="margin:0;padding:0px;">&nbsp;</p> <h3 id="mcetoc_1fsgq27gt1">Supplemental Content:</h3> <p style="margin:0;padding:0px;">Generally followed this guide for the COLLAB and some Anaconda attempts: <a href="https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html">https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Also, I followed this guide for another attempt with COLLAB and Anaconda <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Both guides had problems with package versions for me. This is the guide I followed to have the Google Model work. The general google model I used is included in this github. <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi</a></p> <p style="margin:0;padding:0px;"></p> <h3 id="mcetoc_1fsgq27gt1">Bill of Material:</h3> <p></p> <table class="e14-product-bom-main"> <tbody> <tr> <th>Product Name</th> <th>Manufacturer</th> <th>Quantity</th> <th><a id="e14-product-link-d686a" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982,3051887&nsku=03AC4947,02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_BUY_KIT" class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('d686a'));" data-farnell="2675982,3051887" data-newark="03AC4947,02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Kit</a> </th> </tr> <tr> <td>HD PRO WEBCAM, 3MP, 720P</td> <td>LOGITECH</td> <td>1</td> <td><a id="e14-product-link-19169" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982&nsku=03AC4947&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('19169'));" data-farnell="2675982" data-newark="03AC4947" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr> <td>Raspberry Pi 4 Model B 4GB</td> <td>Raspberry-Pi</td> <td>1</td> <td><a id="e14-product-link-b3fda" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3051887&nsku=02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('b3fda'));" data-farnell="3051887" data-newark="02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="SC15185" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr class="xs-hide"> <td>&nbsp;</td> <td></td> <td></td> <td></td> </tr> </tbody> </table> <h2 id="mcetoc_1frutddo20"><span style="color:#3334ca;"></span></h2> <div style="background:#ffffff;border:1px solid #dadada;margin:0;padding:14px 16px 16px 18px;vertical-align:top;"> <div style="display:inline-block;float:left;padding:0px 25px 8px 0px;"><a href="/challengesprojects/element14-presents/"><img alt="element14 presents" src="/e14/assets/legacy/2018/e14PresentsJune818.png" width="180px" /></a></div> <div style="display:inline-block;vertical-align:top;width:70%;"><br /> <p style="margin:0;"><span><a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/">element14 presents</a></span>&nbsp; <strong>|</strong>&nbsp; <a class="jive-link-wiki-small" href="/challengesprojects/element14-presents/vcp-program/w/documents/4908/vcp-biography-adam">About Adam</a> <span style="padding-right:5px;"> </span><strong>|</strong>&nbsp; <a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/project-videos/">Project Videos</a></p> <p style="margin:0;"></p> </div> </div><div style="clear:both;"></div> <div style="font-size: 90%;">Tags: object classification, tensorflow, python, neural networks, e14p_AS, pi4, object detection, Google Teachable Machine, opencv, machine learning, Google Collab, recycling, Adam, friday_release</div> https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539/revision/7Thu, 10 Mar 2022 17:41:26 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:297818a9-71e6-497a-acc6-b17a5ac7605dtariq.ahmadhttps://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539#commentsRevision 7 posted to Documents by tariq.ahmad on 3/10/2022 5:41:26 PM<br /> <p style="margin:0;"><a href="https://www.youtube.com/watch?v=Vi_VOmhXQw8">www.youtube.com/watch</a><br /><span></span></p> <p style="margin:0;padding:0px;">&nbsp;</p> <p style="background-color:#e9f6fc;border:1px solid #b8d7e5;margin:0;max-width:744px;padding:8px;">Adam had often wondered about the steps to create his own object detection machine learning model to be used on a microcontroller. How hard would it be to create one? Can simpler methods like Google&rsquo;s teachable machine work for object detection? Or, will less intuitive methods like Tensorflow be more fruitful? Watch to find out what methods worked to identify soda cans and bottles.</p> <p style="margin:0;padding:0px;">&nbsp;</p> <h3 id="mcetoc_1fsgq27gt1">Supplemental Content:</h3> <p style="margin:0;padding:0px;">Generally followed this guide for the COLLAB and some Anaconda attempts: <a href="https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html">https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Also, I followed this guide for another attempt with COLLAB and Anaconda <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Both guides had problems with package versions for me. This is the guide I followed to have the Google Model work. The general google model I used is included in this github. <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi</a></p> <p style="margin:0;padding:0px;"></p> <h3 id="mcetoc_1fsgq27gt1">Bill of Material:</h3> <p></p> <table class="e14-product-bom-main"> <tbody> <tr> <th>Product Name</th> <th>Manufacturer</th> <th>Quantity</th> <th><a id="e14-product-link-879bc" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982,3051887&nsku=03AC4947,02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_BUY_KIT" class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('879bc'));" data-farnell="2675982,3051887" data-newark="03AC4947,02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Kit</a> </th> </tr> <tr> <td>HD PRO WEBCAM, 3MP, 720P</td> <td>LOGITECH</td> <td>1</td> <td><a id="e14-product-link-489b9" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982&nsku=03AC4947&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('489b9'));" data-farnell="2675982" data-newark="03AC4947" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr> <td>Raspberry Pi 4 Model B 4GB</td> <td>Raspberry-Pi</td> <td>1</td> <td><a id="e14-product-link-b15af" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3051887&nsku=02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('b15af'));" data-farnell="3051887" data-newark="02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="SC15185" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr class="xs-hide"> <td>&nbsp;</td> <td></td> <td></td> <td></td> </tr> </tbody> </table> <h2 id="mcetoc_1frutddo20"><span style="color:#3334ca;"></span></h2> <div style="background:#ffffff;border:1px solid #dadada;margin:0;padding:14px 16px 16px 18px;vertical-align:top;"> <div style="display:inline-block;float:left;padding:0px 25px 8px 0px;"><a href="/challengesprojects/element14-presents/"><img alt="element14 presents" src="/e14/assets/legacy/2018/e14PresentsJune818.png" width="180px" /></a></div> <div style="display:inline-block;vertical-align:top;width:70%;"><br /> <p style="margin:0;"><span><a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/">element14 presents</a></span>&nbsp; <strong>|</strong>&nbsp; <a class="jive-link-wiki-small" href="/challengesprojects/element14-presents/vcp-program/w/documents/4908/vcp-biography-adam">About Adam</a> <span style="padding-right:5px;"> </span><strong>|</strong>&nbsp; <a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/project-videos/">Project Videos</a></p> <p style="margin:0;"></p> </div> </div><div style="clear:both;"></div> <div style="font-size: 90%;">Tags: object classification, tensorflow, python, neural networks, pi4, object detection, Google Teachable Machine, opencv, machine learning, Google Collab, recycling, Adam, friday_release</div> https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539/revision/6Thu, 10 Mar 2022 16:44:02 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:297818a9-71e6-497a-acc6-b17a5ac7605dpchanhttps://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539#commentsRevision 6 posted to Documents by pchan on 3/10/2022 4:44:02 PM<br /> <p style="margin:0;"><a href="https://www.youtube.com/watch?v=Vi_VOmhXQw8">www.youtube.com/watch</a><br /><span></span></p> <p style="margin:0;padding:0px;">&nbsp;</p> <p style="background-color:#e9f6fc;border:1px solid #b8d7e5;margin:0;max-width:744px;padding:8px;">Adam had often wondered about the steps to create his own object detection machine learning model to be used on a microcontroller. How hard would it be to create one? Can simpler methods like Google&rsquo;s teachable machine work for object detection? Or, will less intuitive methods like Tensorflow be more fruitful? Watch to find out what methods worked to identify soda cans and bottles.</p> <p style="margin:0;padding:0px;">&nbsp;</p> <h3 id="mcetoc_1fsgq27gt1">Supplemental Content:</h3> <p style="margin:0;padding:0px;">Generally followed this guide for the COLLAB and some Anaconda attempts: <a href="https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html">https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Also, I followed this guide for another attempt with COLLAB and Anaconda <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Both guides had problems with package versions for me. This is the guide I followed to have the Google Model work. The general google model I used is included in this github. <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi</a></p> <p style="margin:0;padding:0px;"></p> <h3 id="mcetoc_1fsgq27gt1">Bill of Material:</h3> <p></p> <table class="e14-product-bom-main"> <tbody> <tr> <th>Product Name</th> <th>Manufacturer</th> <th>Quantity</th> <th><a id="e14-product-link-ef020" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982,3051887&nsku=03AC4947,02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_BUY_KIT" class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('ef020'));" data-farnell="2675982,3051887" data-newark="03AC4947,02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Kit</a> </th> </tr> <tr> <td>HD PRO WEBCAM, 3MP, 720P</td> <td>LOGITECH</td> <td>1</td> <td><a id="e14-product-link-3bf2a" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982&nsku=03AC4947&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('3bf2a'));" data-farnell="2675982" data-newark="03AC4947" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr> <td>Raspberry Pi 4 Model B 4GB</td> <td>Raspberry-Pi</td> <td>1</td> <td><a id="e14-product-link-0ddc5" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3051887&nsku=02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('0ddc5'));" data-farnell="3051887" data-newark="02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="SC15185" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr class="xs-hide"> <td>&nbsp;</td> <td></td> <td></td> <td></td> </tr> </tbody> </table> <h2 id="mcetoc_1frutddo20"><span style="color:#3334ca;"></span></h2> <div style="background:#ffffff;border:1px solid #dadada;margin:0;padding:14px 16px 16px 18px;vertical-align:top;"> <div style="display:inline-block;float:left;padding:0px 25px 8px 0px;"><a href="/challengesprojects/element14-presents/"><img alt="element14 presents" src="/e14/assets/legacy/2018/e14PresentsJune818.png" width="180px" /></a></div> <div style="display:inline-block;vertical-align:top;width:70%;"><br /> <p style="margin:0;"><span><a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/">element14 presents</a></span>&nbsp; <strong>|</strong>&nbsp; <a class="jive-link-wiki-small" href="/challengesprojects/element14-presents/vcp-program/w/documents/4908/vcp-biography-adam">About Adam</a> <span style="padding-right:5px;"> </span><strong>|</strong>&nbsp; <a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/project-videos/">Project Videos</a></p> <p style="margin:0;"></p> </div> </div><div style="clear:both;"></div> <div style="font-size: 90%;">Tags: object classification, tensorflow, python, neural networks, pi4, object detection, Google Teachable Machine, opencv, machine learning, Google Collab, recycling, friday_release</div> https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539/revision/5Thu, 10 Mar 2022 16:43:17 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:297818a9-71e6-497a-acc6-b17a5ac7605dpchanhttps://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539#commentsRevision 5 posted to Documents by pchan on 3/10/2022 4:43:17 PM<br /> <p style="margin:0;"><a href="https://www.youtube.com/watch?v=Vi_VOmhXQw8">www.youtube.com/watch</a><br /><span></span></p> <p style="margin:0;padding:0px;">&nbsp;</p> <p style="background-color:#e9f6fc;border:1px solid #b8d7e5;margin:0;max-width:744px;padding:8px;">Adam had often wondered about the steps to create his own object detection machine learning model to be used on a microcontroller. How hard would it be to create one? Can simpler methods like Google&rsquo;s teachable machine work for object detection? Or, will less intuitive methods like Tensorflow be more fruitful? Watch to find out what methods worked to identify soda cans and bottles.</p> <p style="margin:0;padding:0px;">&nbsp;</p> <h3 id="mcetoc_1fsgq27gt1">Supplemental Content:</h3> <p style="margin:0;padding:0px;">Generally followed this guide for the COLLAB and some Anaconda attempts: <a href="https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html">https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Also, I followed this guide for another attempt with COLLAB and Anaconda <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Both guides had problems with package versions for me. This is the guide I followed to have the Google Model work. The general google model I used is included in this github. <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi</a></p> <p style="margin:0;padding:0px;"></p> <h3 id="mcetoc_1fsgq27gt1">Bill of Material:</h3> <p></p> <table class="e14-product-bom-main"> <tbody> <tr> <th>Product Name</th> <th>Manufacturer</th> <th>Quantity</th> <th><a id="e14-product-link-e051a" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982,3051887&nsku=03AC4947,02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_BUY_KIT" class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('e051a'));" data-farnell="2675982,3051887" data-newark="03AC4947,02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Kit</a> </th> </tr> <tr> <td>HD PRO WEBCAM, 3MP, 720P</td> <td>LOGITECH</td> <td>1</td> <td><a id="e14-product-link-d669f" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982&nsku=03AC4947&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('d669f'));" data-farnell="2675982" data-newark="03AC4947" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr> <td>Raspberry Pi 4 Model B 4GB</td> <td>Raspberry-Pi</td> <td>1</td> <td><a id="e14-product-link-df2c9" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3051887&nsku=02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('df2c9'));" data-farnell="3051887" data-newark="02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="SC15185" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr class="xs-hide"> <td>&nbsp;</td> <td></td> <td></td> <td></td> </tr> </tbody> </table> <h2 id="mcetoc_1frutddo20"><span style="color:#3334ca;"></span></h2> <div style="background:#ffffff;border:1px solid #dadada;margin:0;padding:14px 16px 16px 18px;vertical-align:top;"> <div style="display:inline-block;float:left;padding:0px 25px 8px 0px;"><a href="/challengesprojects/element14-presents/"><img alt="element14 presents" src="/e14/assets/legacy/2018/e14PresentsJune818.png" width="180px" /></a></div> <div style="display:inline-block;vertical-align:top;width:70%;"><br /> <p style="margin:0;"><span><a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/">element14 presents</a></span>&nbsp; <strong>|</strong>&nbsp; <a class="jive-link-wiki-small" href="/challengesprojects/element14-presents/vcp-program/w/documents/4908/vcp-biography-adam">About Adam</a> <span style="padding-right:5px;"> </span><strong>|</strong>&nbsp; <a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/project-videos/">Project Videos</a></p> <p style="margin:0;"></p> </div> </div><div style="clear:both;"></div> <div style="font-size: 90%;">Tags: object classification, tensorflow, python, neural networks, pi4, object detection, Google Teachable Machine, opencv, machine learning, Google Collab, recycling</div> https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539/revision/4Tue, 22 Feb 2022 14:05:53 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:297818a9-71e6-497a-acc6-b17a5ac7605dtariq.ahmadhttps://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539#commentsRevision 4 posted to Documents by tariq.ahmad on 2/22/2022 2:05:53 PM<br /> <p style="margin:0;"><a href="https://www.youtube.com/watch?v=Vi_VOmhXQw8">www.youtube.com/watch</a><br /><span></span></p> <p style="margin:0;padding:0px;">&nbsp;</p> <p style="background-color:#e9f6fc;border:1px solid #b8d7e5;margin:0;max-width:744px;padding:8px;">Adam had often wondered about the steps to create his own object detection machine learning model to be used on a microcontroller. How hard would it be to create one? Can simpler methods like Google&rsquo;s teachable machine work for object detection? Or, will less intuitive methods like Tensorflow be more fruitful? Watch to find out what methods worked to identify soda cans and bottles.</p> <p style="margin:0;padding:0px;">&nbsp;</p> <h3 id="mcetoc_1fsgq27gt1">Supplemental Content:</h3> <p style="margin:0;padding:0px;">Generally followed this guide for the COLLAB and some Anaconda attempts: <a href="https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html">https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Also, I followed this guide for another attempt with COLLAB and Anaconda <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Both guides had problems with package versions for me. This is the guide I followed to have the Google Model work. The general google model I used is included in this github. <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi</a></p> <p style="margin:0;padding:0px;"></p> <h3 id="mcetoc_1fsgq27gt1">Bill of Material:</h3> <p></p> <table class="e14-product-bom-main"> <tbody> <tr> <th>Product Name</th> <th>Manufacturer</th> <th>Quantity</th> <th><a id="e14-product-link-ffa4d" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982,3051887&nsku=03AC4947,02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_BUY_KIT" class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('ffa4d'));" data-farnell="2675982,3051887" data-newark="03AC4947,02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Kit</a> </th> </tr> <tr> <td>HD PRO WEBCAM, 3MP, 720P</td> <td>LOGITECH</td> <td>1</td> <td><a id="e14-product-link-dccf7" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982&nsku=03AC4947&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('dccf7'));" data-farnell="2675982" data-newark="03AC4947" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr> <td>Raspberry Pi 4 Model B 4GB</td> <td>Raspberry-Pi</td> <td>1</td> <td><a id="e14-product-link-87364" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3051887&nsku=02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('87364'));" data-farnell="3051887" data-newark="02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="SC15185" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr class="xs-hide"> <td>&nbsp;</td> <td></td> <td></td> <td></td> </tr> </tbody> </table> <h2 id="mcetoc_1frutddo20"><span style="color:#3334ca;"></span></h2> <div style="background:#ffffff;border:1px solid #dadada;margin:0;padding:14px 16px 16px 18px;vertical-align:top;"> <div style="display:inline-block;float:left;padding:0px 25px 8px 0px;"><a href="/challengesprojects/element14-presents/"><img alt="element14 presents" src="/e14/assets/legacy/2018/e14PresentsJune818.png" width="180px" /></a></div> <div style="display:inline-block;vertical-align:top;width:70%;"><br /> <p style="margin:0;"><span><a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/">element14 presents</a></span>&nbsp; <strong>|</strong>&nbsp; <a class="jive-link-wiki-small" href="/challengesprojects/element14-presents/vcp-program/w/documents/4908/vcp-biography-adam">About Adam</a> <span style="padding-right:5px;"> </span><strong>|</strong>&nbsp; <a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/project-videos/">Project Videos</a></p> <p style="margin:0;"></p> </div> </div><div style="clear:both;"></div> <div style="font-size: 90%;">Tags: object classification, tensorflow, python, neural networks, pi4, object detection, Google Teachable Machine, opencv, machine learning, Google Collab, recycling</div> https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539/revision/3Tue, 22 Feb 2022 13:56:28 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:297818a9-71e6-497a-acc6-b17a5ac7605dtariq.ahmadhttps://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539#commentsRevision 3 posted to Documents by tariq.ahmad on 2/22/2022 1:56:28 PM<br /> <p style="margin:0;"><a href="https://www.youtube.com/watch?v=Vi_VOmhXQw8">www.youtube.com/watch</a><br /><span></span></p> <p style="margin:0;padding:0px;">&nbsp;</p> <p style="background-color:#e9f6fc;border:1px solid #b8d7e5;margin:0;max-width:744px;padding:8px;">Adam had often wondered about the steps to create his own object detection machine learning model to be used on a microcontroller. How hard would it be to create one? Can simpler methods like Google&rsquo;s teachable machine work for object detection? Or, will less intuitive methods like Tensorflow be more fruitful? Watch to find out what methods worked to identify soda cans and bottles.</p> <p style="margin:0;padding:0px;">&nbsp;</p> <h3 id="mcetoc_1fsgq27gt1">Supplemental Content:</h3> <p style="margin:0;padding:0px;">Generally followed this guide for the COLLAB and some Anaconda attempts: <a href="https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html">https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Also, I followed this guide for another attempt with COLLAB and Anaconda <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Both guides had problems with package versions for me. This is the guide I followed to have the Google Model work. The general google model I used is included in this github. <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi</a></p> <p style="margin:0;padding:0px;"></p> <h3 id="mcetoc_1fsgq27gt1">Bill of Material:</h3> <p></p> <table class="e14-product-bom-main"> <tbody> <tr> <th>Product Name</th> <th>Manufacturer</th> <th>Quantity</th> <th><a id="e14-product-link-fd090" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982,3051887&nsku=03AC4947,02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_BUY_KIT" class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('fd090'));" data-farnell="2675982,3051887" data-newark="03AC4947,02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Kit</a> </th> </tr> <tr> <td>HD PRO WEBCAM, 3MP, 720P</td> <td>LOGITECH</td> <td>1</td> <td><a id="e14-product-link-13edb" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982&nsku=03AC4947&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('13edb'));" data-farnell="2675982" data-newark="03AC4947" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr> <td>Raspberry Pi 4 Model B 4GB</td> <td>Raspberry-Pi</td> <td>1</td> <td><a id="e14-product-link-a1a65" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3051887&nsku=02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('a1a65'));" data-farnell="3051887" data-newark="02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="SC15185" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr class="xs-hide"> <td>&nbsp;</td> <td></td> <td></td> <td></td> </tr> </tbody> </table> <h2 id="mcetoc_1frutddo20"><span style="color:#3334ca;"></span></h2> <div style="background:#ffffff;border:1px solid #dadada;margin:0;padding:14px 16px 16px 18px;vertical-align:top;"> <div style="display:inline-block;float:left;padding:0px 25px 8px 0px;"><a href="/challengesprojects/element14-presents/"><img alt="element14 presents" src="/e14/assets/legacy/2018/e14PresentsJune818.png" width="180px" /></a></div> <div style="display:inline-block;vertical-align:top;width:70%;"><br /> <p style="margin:0;"><span><a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/">element14 presents</a></span>&nbsp; <strong>|</strong>&nbsp; <a class="jive-link-wiki-small" href="/challengesprojects/element14-presents/vcp-program/w/documents/4908/vcp-biography-adam">About Adam</a> <span style="padding-right:5px;"> </span><strong>|</strong>&nbsp; <a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/project-videos/">Project Videos</a></p> <p style="margin:0;"></p> </div> </div><div style="clear:both;"></div> <div style="font-size: 90%;">Tags: object classification, tensorflow, python, neural networks, pi4, object detection, Google Teachable Machine, opencv, machine learning, Google Collab, recycling</div> https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539/revision/2Tue, 22 Feb 2022 13:38:55 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:297818a9-71e6-497a-acc6-b17a5ac7605dtariq.ahmadhttps://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539#commentsRevision 2 posted to Documents by tariq.ahmad on 2/22/2022 1:38:55 PM<br /> <p style="margin:0;"><a href="https://www.youtube.com/watch?v=Vi_VOmhXQw8">www.youtube.com/watch</a><br /><span></span></p> <p style="margin:0;padding:0px;">&nbsp;</p> <p style="background-color:#e9f6fc;border:1px solid #b8d7e5;margin:0;max-width:744px;padding:8px;">Adam had often wondered about the steps to create his own object detection machine learning model to be used on a microcontroller. How hard would it be to create one? Can simpler methods like Google&rsquo;s teachable machine work for object detection? Or, will less intuitive methods like Tensorflow be more fruitful? Watch to find out what methods worked to identify soda cans and bottles.</p> <p style="margin:0;padding:0px;">&nbsp;</p> <h3 id="mcetoc_1fsgq27gt1">Supplemental Content:</h3> <p style="margin:0;padding:0px;">Generally followed this guide for the COLLAB and some Anaconda attempts: <a href="https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html">https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Also, I followed this guide for another attempt with COLLAB and Anaconda <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md </a></p> <p style="margin:0;padding:0px;"></p> <p style="margin:0;padding:0px;">Both guides had problems with package versions for me. This is the guide I followed to have the Google Model work. The general google model I used is included in this github. <a href="https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi">https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi</a></p> <p style="margin:0;padding:0px;"></p> <h3 id="mcetoc_1fsgq27gt1">Bill of Material:</h3> <p></p> <table class="e14-product-bom-main"> <tbody> <tr> <th>Product Name</th> <th>Manufacturer</th> <th>Quantity</th> <th><a id="e14-product-link-912f6" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982,3051887&nsku=03AC4947,02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_BUY_KIT" class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('912f6'));" data-farnell="2675982,3051887" data-newark="03AC4947,02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Kit</a> </th> </tr> <tr> <td>HD PRO WEBCAM, 3MP, 720P</td> <td>LOGITECH</td> <td>1</td> <td><a id="e14-product-link-145e9" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=2675982&nsku=03AC4947&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('145e9'));" data-farnell="2675982" data-newark="03AC4947" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr> <td>Raspberry Pi 4 Model B 4GB</td> <td>Raspberry-Pi</td> <td>1</td> <td><a id="e14-product-link-4fa87" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3051887&nsku=02AH3164&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('4fa87'));" data-farnell="3051887" data-newark="02AH3164" data-comoverride="" data-cmpoverride="" data-cpc="SC15185" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </td> </tr> <tr class="xs-hide"> <td>&nbsp;</td> <td></td> <td></td> <td></td> </tr> </tbody> </table> <h2 id="mcetoc_1frutddo20"><span style="color:#3334ca;"></span></h2> <div style="background:#ffffff;border:1px solid #dadada;margin:0;padding:14px 16px 16px 18px;vertical-align:top;"> <div style="display:inline-block;float:left;padding:0px 25px 8px 0px;"><a href="/challengesprojects/element14-presents/"><img alt="element14 presents" src="/e14/assets/legacy/2018/e14PresentsJune818.png" width="180px" /></a></div> <div style="display:inline-block;vertical-align:top;width:70%;"><br /> <p style="margin:0;"><span><a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/">element14 presents</a></span>&nbsp; <strong>|</strong>&nbsp; <a class="jive-link-wiki-small" href="/challengesprojects/element14-presents/vcp-program/w/documents/4908/vcp-biography-adam">About Adam</a> <span style="padding-right:5px;"> </span><strong>|</strong>&nbsp; <a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/project-videos/">Project Videos</a></p> <p style="margin:0;"></p> </div> </div><div style="clear:both;"></div> <div style="font-size: 90%;">Tags: object classification, tensorflow, python, neural networks, pi4, object detection, Google Teachable Machine, opencv, machine learning, Google Collab, recycling</div> https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539/revision/1Tue, 15 Feb 2022 14:50:11 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:297818a9-71e6-497a-acc6-b17a5ac7605dtariq.ahmadhttps://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/27484/training-a-machine-to-recognize-objects---how-hard-can-it-be----episode-539#commentsRevision 1 posted to Documents by tariq.ahmad on 2/15/2022 2:50:11 PM<br /> <p style="margin:0;"><a href="https://www.youtube.com/watch?v=Vi_VOmhXQw8">www.youtube.com/watch</a><br /><span></span></p> <p style="margin:0;padding:0px;">&nbsp;</p> <p style="background-color:#e9f6fc;border:1px solid #b8d7e5;margin:0;max-width:744px;padding:8px;">Adam had often wondered about the steps to create his own object detection machine learning model to be used on a microcontroller. How hard would it be to create one? Can simpler methods like Google&rsquo;s teachable machine work for object detection? Or, will less intuitive methods like Tensorflow be more fruitful? Watch to find out what methods worked to identify soda cans and bottles.</p> <p style="margin:0;padding:0px;">&nbsp;</p> <h2 id="mcetoc_1frutddo20"><span style="color:#3334ca;">Bill of Material:</span></h2> <p style="margin:0;padding:0px;">&nbsp;</p> <table class="jiveBorder" style="border:1px solid #000000;height:267px;width:854px;" border="1" height="308"> <thead> <tr> <th style="background-color:#6690bc;border:1px solid #000000;color:#ffffff;padding:2px;text-align:left;width:532px;" valign="middle"><strong>Part</strong></th> <th style="background-color:#6690bc;border:1px solid #000000;color:#ffffff;padding:2px;text-align:left;width:125px;" valign="middle"><strong>Manufacturer</strong></th> <th style="background-color:#6690bc;border:1px solid #000000;color:#ffffff;padding:2px;text-align:center;vertical-align:baseline;width:69px;" valign="middle"><strong>Quantity</strong></th> <th style="background-color:#6690bc;border:1px solid #000000;color:#ffffff;padding:2px;text-align:left;" valign="middle"><span><span id="addProduct-jMLNNGtC-linked" class="e14-init-shown e14-product-link-buynow" style="white-space:nowrap;"><a class="jive-link-product-addtolist" href="https://www.element14.com/community/view-product.jspa?fsku=#,#,#,#,#,#,#,#,#,#,#&amp;nsku=#,#,#,#,#,#,#,#,#,#,#&amp;COM=noscript" rel="noopener noreferrer" target="_blank"><span class="pf-widget-map pf-productlink-cart-icon"></span></a><a class="jive-link-product pf-embedded-product-link" href="https://www.element14.com/community/view-product.jspa?fsku=#,#,#,#,#,#,#,#,#,#,#&amp;nsku=#,#,#,#,#,#,#,#,#,#,#&amp;COM=noscript" rel="noopener noreferrer" target="_blank">Buy Kit</a></span><span id="addProduct-jMLNNGtC-unlinked" class="e14-init-hidden">Buy Kit</span></span></th> </tr> </thead> <tbody> <tr> <td style="border:1px solid #000000;padding:2px;"> <p style="margin:0;"><strong>Lorem ipsum dolor sit amet</strong></p> </td> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum</strong></td> <td style="border:1px solid #000000;padding:2px;text-align:center;">1</td> <td style="border:1px solid #000000;padding:2px;"><span><span id="addProduct-UjNWgyUl-linked" class="e14-init-shown e14-product-link-buynow" style="white-space:nowrap;"><a class="jive-link-product-addtolist" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank"><span class="pf-widget-map pf-productlink-cart-icon"></span></a><a class="jive-link-product pf-embedded-product-link" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank">Buy Now</a></span><span id="addProduct-UjNWgyUl-unlinked" class="e14-init-hidden">Buy Now</span></span></td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"> <p style="margin:0;"><strong><span>Lorem ipsum dolor sit amet</span></strong></p> </td> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum</strong></td> <td style="border:1px solid #000000;padding:2px;text-align:center;">1</td> <td style="border:1px solid #000000;padding:2px;"><span><span id="addProduct-SKZ9fnFQ-linked" class="e14-init-shown e14-product-link-buynow" style="white-space:nowrap;"><a class="jive-link-product-addtolist" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank"><span class="pf-widget-map pf-productlink-cart-icon"></span></a><a class="jive-link-product pf-embedded-product-link" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank">Buy Now</a></span><span id="addProduct-SKZ9fnFQ-unlinked" class="e14-init-hidden">Buy Now</span></span></td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum dolor sit amet</strong></td> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum</strong></td> <td style="border:1px solid #000000;padding:2px;text-align:center;">1</td> <td style="border:1px solid #000000;padding:2px;"><span><span id="addProduct-iKbhulDM-linked" class="e14-init-shown e14-product-link-buynow" style="white-space:nowrap;"><a class="jive-link-product-addtolist" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank"><span class="pf-widget-map pf-productlink-cart-icon"></span></a><a class="jive-link-product pf-embedded-product-link" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank">Buy Now</a></span><span id="addProduct-iKbhulDM-unlinked" class="e14-init-hidden">Buy Now</span></span></td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"><strong><span>Lorem ipsum dolor sit amet</span></strong></td> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum</strong></td> <td style="border:1px solid #000000;padding:2px;text-align:center;">1</td> <td style="border:1px solid #000000;padding:2px;"><span><span id="addProduct-IY3z2MWT-linked" class="e14-init-shown e14-product-link-buynow" style="white-space:nowrap;"><a class="jive-link-product-addtolist" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank"><span class="pf-widget-map pf-productlink-cart-icon"></span></a><a class="jive-link-product pf-embedded-product-link" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank">Buy Now</a></span><span id="addProduct-IY3z2MWT-unlinked" class="e14-init-hidden">Buy Now</span></span></td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"><strong><span>Lorem ipsum dolor sit amet</span></strong></td> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum</strong></td> <td style="border:1px solid #000000;padding:2px;text-align:center;">1</td> <td style="border:1px solid #000000;padding:2px;"><span><span id="addProduct-7HNSu67x-linked" class="e14-init-shown e14-product-link-buynow" style="white-space:nowrap;"><a class="jive-link-product-addtolist" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank"><span class="pf-widget-map pf-productlink-cart-icon"></span></a><a class="jive-link-product pf-embedded-product-link" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank">Buy Now</a></span><span id="addProduct-7HNSu67x-unlinked" class="e14-init-hidden">Buy Now</span></span></td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum dolor sit amet</strong></td> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum</strong></td> <td style="border:1px solid #000000;padding:2px;text-align:center;">1</td> <td style="border:1px solid #000000;padding:2px;"><span><span id="addProduct-tCE1lwwu-linked" class="e14-init-shown e14-product-link-buynow" style="white-space:nowrap;"><a class="jive-link-product-addtolist" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank"><span class="pf-widget-map pf-productlink-cart-icon"></span></a><a class="jive-link-product pf-embedded-product-link" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank">Buy Now</a></span><span id="addProduct-tCE1lwwu-unlinked" class="e14-init-hidden">Buy Now</span></span></td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"><strong><span>Lorem ipsum dolor sit amet</span></strong></td> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum</strong></td> <td style="border:1px solid #000000;padding:2px;text-align:center;">1</td> <td style="border:1px solid #000000;padding:2px;"><span><span id="addProduct-yxnRP4u8-linked" class="e14-init-shown e14-product-link-buynow" style="white-space:nowrap;"><a class="jive-link-product-addtolist" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank"><span class="pf-widget-map pf-productlink-cart-icon"></span></a><a class="jive-link-product pf-embedded-product-link" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank">Buy Now</a></span><span id="addProduct-yxnRP4u8-unlinked" class="e14-init-hidden">Buy Now</span></span></td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"><strong><span>Lorem ipsum dolor sit amet</span></strong></td> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum</strong></td> <td style="border:1px solid #000000;padding:2px;text-align:center;">1</td> <td style="border:1px solid #000000;padding:2px;"><span><span id="addProduct-VeK0hgvW-linked" class="e14-init-shown e14-product-link-buynow" style="white-space:nowrap;"><a class="jive-link-product-addtolist" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank"><span class="pf-widget-map pf-productlink-cart-icon"></span></a><a class="jive-link-product pf-embedded-product-link" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank">Buy Now</a></span><span id="addProduct-VeK0hgvW-unlinked" class="e14-init-hidden">Buy Now</span></span></td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum dolor sit amet</strong></td> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum</strong></td> <td style="border:1px solid #000000;padding:2px;text-align:center;">2</td> <td style="border:1px solid #000000;padding:2px;"><span><span id="addProduct-BbEc9Fs8-linked" class="e14-init-shown e14-product-link-buynow" style="white-space:nowrap;"><a class="jive-link-product-addtolist" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank"><span class="pf-widget-map pf-productlink-cart-icon"></span></a><a class="jive-link-product pf-embedded-product-link" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank">Buy Now</a></span><span id="addProduct-BbEc9Fs8-unlinked" class="e14-init-hidden">Buy Now</span></span></td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum dolor sit amet</strong></td> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum</strong></td> <td style="border:1px solid #000000;padding:2px;text-align:center;">1</td> <td style="border:1px solid #000000;padding:2px;"><span><span id="addProduct-wYkVbMTk-linked" class="e14-init-shown e14-product-link-buynow" style="white-space:nowrap;"><a class="jive-link-product-addtolist" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank"><span class="pf-widget-map pf-productlink-cart-icon"></span></a><a class="jive-link-product pf-embedded-product-link" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank">Buy Now</a></span><span id="addProduct-wYkVbMTk-unlinked" class="e14-init-hidden">Buy Now</span></span></td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum dolor sit amet</strong></td> <td style="border:1px solid #000000;padding:2px;"><strong>Lorem ipsum</strong></td> <td style="border:1px solid #000000;padding:2px;text-align:center;">2</td> <td style="border:1px solid #000000;padding:2px;"><span><span id="addProduct-OLog2i9s-linked" class="e14-init-shown e14-product-link-buynow" style="white-space:nowrap;"><a class="jive-link-product-addtolist" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank"><span class="pf-widget-map pf-productlink-cart-icon"></span></a><a class="jive-link-product pf-embedded-product-link" href="https://www.element14.com/community/view-product.jspa?fsku=#&amp;nsku=#&amp;COM=noscript" rel="noopener noreferrer" target="_blank">Buy Now</a></span><span id="addProduct-OLog2i9s-unlinked" class="e14-init-hidden">Buy Now</span></span></td> </tr> </tbody> </table> <p style="margin:0;padding:0px;">&nbsp;</p> <h2 id="mcetoc_1frutddo21"><span style="color:#3334ca;">Additional Parts:</span></h2> <p style="margin:0;padding:0px;">&nbsp;</p> <table class="jiveBorder" style="border:1px solid #000000;width:100%;" border="1"> <thead> <tr> <th style="background-color:#6690bc;border:1px solid #000000;color:#ffffff;padding:2px;text-align:left;" valign="middle"><strong>Product Name</strong></th> <th style="background-color:#6690bc;border:1px solid #000000;color:#ffffff;padding:2px;text-align:left;" valign="middle"><strong>Quantity<br /></strong></th> </tr> </thead> <tbody> <tr> <td style="border:1px solid #000000;padding:2px;"> <p style="margin:0;"><strong>Lorem ipsum dolor sit amet</strong></p> </td> <td style="border:1px solid #000000;padding:2px;">1</td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"> <p style="margin:0;"><strong>Lorem ipsum dolor sit amet</strong></p> </td> <td style="border:1px solid #000000;padding:2px;">1</td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"> <p style="margin:0;"><strong>Lorem ipsum dolor sit amet</strong></p> </td> <td style="border:1px solid #000000;padding:2px;">1</td> </tr> <tr> <td style="border:1px solid #000000;padding:2px;"> <p style="margin:0;"><strong>Lorem ipsum dolor sit amet</strong></p> </td> <td style="border:1px solid #000000;padding:2px;">1</td> </tr> </tbody> </table> <p></p> <div style="background:#ffffff;border:1px solid #dadada;margin:0;padding:14px 16px 16px 18px;vertical-align:top;"> <div style="display:inline-block;float:left;padding:0px 25px 8px 0px;"><a href="/challengesprojects/element14-presents/"><img alt="element14 presents" src="/e14/assets/legacy/2018/e14PresentsJune818.png" width="180px" /></a></div> <div style="display:inline-block;vertical-align:top;width:70%;"><span style="font-size:18px;font-weight:bold;">name</span> <p style="margin:0;"><span><a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/">element14 presents</a></span>&nbsp; <strong>|</strong>&nbsp; <a class="jive-link-wiki-small" href="/challengesprojects/element14-presents/vcp-program/w/documents/4908/vcp-biography-adam">Adam Soileau&#39;s VCP Profile</a> <span style="padding-right:5px;"> </span><strong>|</strong>&nbsp; <a class="jivecontainerTT-hover-container jive-link-community-small" href="/challengesprojects/element14-presents/project-videos/">Project Videos</a></p> </div> </div><div style="clear:both;"></div>