https://community.element14.com/products/devtools/product-pages/w/documents/23034/beaglebone-ai---fast-track-for-embedded-machine-learningProduct Detail Documentsen-USTelligent Community 12https://community.element14.com/products/devtools/product-pages/w/documents/23034/beaglebone-ai---fast-track-for-embedded-machine-learningFri, 05 May 2023 16:09:47 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:d6c29d56-903e-4fb7-ad78-2e58425ea4dde14-publisherhttps://community.element14.com/products/devtools/product-pages/w/documents/23034/beaglebone-ai---fast-track-for-embedded-machine-learning#commentsCurrent Revision posted to Documents by e14-publisher on 5/5/2023 4:09:47 PM<br /> <div id="product-page-content"> <h1 class="xs-mt0 xs-mb2">BeagleBone<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> AI - Fast Track for Embedded Machine Learning</h1> <div class="xs-mb3"><span class="bold xs-mr1">Manufactured By:</span>beagleboard.org</div> <div class="xs-flex md-flex-row xs-flex-column"> <div class="md-w40 xs-w100"> <div id="devtool-primary-image" class="devtool-primary-image-container fill-white"> <img alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x333_1579634138.jpg" class="devtool-image-devtool-0 xs-w100 xs-full-height fill-white obj-fit-contain xs-block" /> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x303_1579634139.png" class="devtool-image-devtool-1 xs-w100 xs-full-height fill-white obj-fit-contain xs-hide" /> </div> <div class="xs-flex xs-flex-wrap xs-mt2"> <div class="devtool-thumbnail fill-white xs-border-lighter txt-center xs-mr1 xs-mb2"> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x333_1579634138.jpg" id="devtool-0" class="xs-w100 xs-full-height obj-fit-contain" /> </div> <div class="devtool-thumbnail fill-white xs-border-lighter txt-center xs-mr1 xs-mb2"> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x303_1579634139.png" id="devtool-1" class="xs-w100 xs-full-height obj-fit-contain" /> </div> </div> </div> <div class="md-w60 md-pl4 md-pl4 md-pt0 xs-w100 xs-pl0 xs-pl0 xs-pt2"> <div class="xs-flex xs-flex-justify-space-between xs-flex-align-center xs-border-lighter fill-white xs-p2"> <div class="xs-mt1 xs-mb1"> <div class="xs-text-5"><span class="bold xs-mr1">Part Number:</span><span id="part-number-value">BBONE-AI</span></div> </div> <div class="xs-text-right xs-mr2"> <a id="e14-product-link-e340e" data-at-areainteracted="design-center" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3132825&nsku=10AH2651&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('e340e'));" data-farnell="3132825" data-newark="10AH2651" data-comoverride="" data-cmpoverride="" data-cpc="SC15585" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </div> </div> </div> </div> <div class="xs-mt3"> <p>BeagleBone&reg; AI, a new addition to the BeagleBoard.org&reg; BeagleBone&reg; family, is a high-end Single Board Computer aimed at developers interested in implementing machine-learning and computer vision with simplicity.</p> <p>BeagleBone&reg; AI is the most powerful BeagleBone&reg; ever developed with dual-core ARM Cortex-A15 running at 1.5 GHz, 16GB on-board eMMC flash, a SuperSpeed USB Type-C interface, Gigabit Ethernet and dual band wireless connectivity. BeagleBone&reg; AI simplify the use of artificial intelligence (AI) in daily application via the TI C66x digital-signal-processor (DSP) cores, two dual-core ARM Cortex-M4 co-processors for real-time control, two dual-core&nbsp;Programmable Real-Time Unit&nbsp;(PRU) subsystems and four&nbsp;Embedded Vision Engines(EVEs) supported through an optimized TIDL machine learning OpenCL API with pre-installed tools. The BeagleBone&reg; AI also has an additional dual-core PowerVR SGX544 3D GPU and a Vivante GC320 2D graphics accelerator. Focused on everyday automation in industrial, commercial and home applications.</p> <p>BeagleBone&reg; AI comes in a similar form-fact as BeagleBone&reg; Black and compatible with many BeagleBone&reg; Cape add-on boards make it easy to extend the functionality.<br /><br /></p> <p><strong>Features:</strong></p> <ul> <li>TI AM5729 Dual Core ARM Cortex-A15 processor running at 1.5GHz</li> <li>Dual C66 DSP, Four ARM Cortex-M4, Four PRU and Four Embedded Vision Engine</li> <li>Four Programmable Real-time Units (PRUs)</li> <li>Memory: 1GB RAM and 16GB on-board eMMC Flash</li> <li>Connectivity: Gigabit Ethernet, 2.4/5GHz WiFi, and Bluetooth</li> <li>USB Type-C for power and superspeed dual-role controller</li> <li>USB type-A host</li> <li>Audio &amp; Video: microHDMI</li> <li>Headers compatible with manyBeagleBone&reg; Cape add-on boards</li> <li>Zero-download out-of-box software experience</li> </ul> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Features</h3> <p><strong>Processor &amp; Co-Processors:</strong></p> <ul> <li>Main Processor Features of the AM5729 Within BeagleBone&reg; AI</li> <li>Dual 1.5GHz ARM&reg; Cortex&reg;-A15 with out-of-order speculative issue 3-way superscalar execution pipeline for the fastest execution of existing 32-bit code</li> <li>2 C66x Floating-Point VLIW DSP supported by OpenCL</li> <li>4 Embedded Vision Engines (EVEs) supported by TIDL machine learning library</li> <li>2x Dual-Core Programmable Real-Time Unit (PRU) subsystems (4 PRUs total) for ultra low-latency control and software generated peripherals</li> <li>2x Dual ARM&reg; Cortex&reg;-M4 co-processors for real-time control</li> <li>IVA-HD subsystem with support for 4K @ 15fps H.264 encode/decode and other codecs @ 1080p60</li> <li>Vivante&reg; GC320 2D graphics accelerator</li> <li>Dual-Core PowerVR&reg; SGX544&trade; 3D GPU</li> <li>2x46 expansion headers compatible with many BeagleBone&reg; cape add-on boards <ul> <li>16-bit LCD interfaces</li> <li>4+ UARTs</li> <li>2 I2C ports</li> <li>2 SPI ports</li> <li>Lots of PRU I/O pins</li> </ul> </li> </ul> <p><strong>Memory</strong></p> <ul> <li>1GB RAM</li> <li>16GB on-board eMMC flash</li> </ul> <p><strong>Connectors</strong></p> <ul> <li>USB Type-C connector for power and SuperSpeed dual-role controller</li> <li>USB Type-A high-speed host</li> <li>Gigabit Ethernet</li> <li>Serial debug header</li> </ul> <p><strong>Wireless Connectivity </strong></p> <ul> <li>11ac 2.4/5GHz WiFi via the AzureWave AW-CM256SM</li> <li>Bluetooth 4.2 and Bluetooth Low Energy via the AzureWave AW-CM256SM</li> </ul> <p><strong>Out of Box Software</strong></p> <ul> <li>Zero-download out of box software environment</li> <li>Self-hosted web IDE with local compilers, libraries and examples</li> <li>Debian distribution (initially version 9.9, 10.0 available)</li> <li>Linux kernel support (initially 4.14, with 4.19 and 5.2 available)</li> <li>Connectivity via USB gadget (network/serial), WiFi access point and station, Ethernet, and serial debug header</li> </ul> <h3 class="toc-item xs-pb2 xs-border-bottom">Ships With</h3> <ul> <li>BeagleBone&reg; AI Board <ul> <li>Pre-mounted heatsink and antenna</li> <li>Pre-programmed with a Linux distribution, developers can get up and running in 5-minutes</li> </ul> </li> <li>Quick Start Guide</li> </ul> <div id="devtool-required-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Required Tools</h3> <div id="devtool-required-devtools-content"></div> </div> <div id="devtool-accessory-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Accessory Tools</h3> <div id="devtool-accessory-devtools-content"></div> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Documents</h3> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Quick Start Guide</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-pdf"></i> <a href="https://www.element14.com/community/docs/DOC-93226/l/bbai-quick-start-guidepdf" target="_blank">BeagleBone<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> AIQuick start guide (pdf)</a> </div> </div> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Reference Manual</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-code"></i> <a href="https://github.com/beagleboard/beaglebone-ai/wiki/System-Reference-Manual" target="_blank">BeagleBone AI System Reference Manual (html)</a> </div> </div> </div> <div class="xs-hide"> <script>e14.meta.page.devtools={"id": 5147, "type": "devtool", "part_number": "BBONE-AI" };</script> </div> <div style="clear:both;"></div> <div style="font-size: 90%;">Tags: embedded vision, image processing, internet of things, artificial intelligence, beagleboard.org, single_board_computers, single board computers (sbc), BeagleBone, machine learning, ai, mcu, iot, beagleboard, texas instruments, development_platforms_kits, computer vision, automation</div> https://community.element14.com/products/devtools/product-pages/w/documents/23034/beaglebone-ai---fast-track-for-embedded-machine-learning/revision/4Thu, 26 May 2022 13:52:44 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:d6c29d56-903e-4fb7-ad78-2e58425ea4ddcstantonhttps://community.element14.com/products/devtools/product-pages/w/documents/23034/beaglebone-ai---fast-track-for-embedded-machine-learning#commentsRevision 4 posted to Documents by cstanton on 5/26/2022 1:52:44 PM<br /> <div class="xs-hide"> <script>e14.meta.page.devtools={"id": 5147, "type": "devtool", "part_number": "BBONE-AI" };</script> </div> <div id="product-page-content"> <h1 class="xs-mt0 xs-mb2">BeagleBone<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> AI - Fast Track for Embedded Machine Learning</h1> <div class="xs-mb3"><span class="bold xs-mr1">Manufactured By:</span>beagleboard.org</div> <div class="xs-flex md-flex-row xs-flex-column"> <div class="md-w40 xs-w100"> <div id="devtool-primary-image" class="devtool-primary-image-container fill-white"> <img alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x333_1579634138.jpg" class="devtool-image-devtool-0 xs-w100 xs-full-height fill-white obj-fit-contain xs-block" /> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x303_1579634139.png" class="devtool-image-devtool-1 xs-w100 xs-full-height fill-white obj-fit-contain xs-hide" /> </div> <div class="xs-flex xs-flex-wrap xs-mt2"> <div class="devtool-thumbnail fill-white xs-border-lighter txt-center xs-mr1 xs-mb2"> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x333_1579634138.jpg" id="devtool-0" class="xs-w100 xs-full-height obj-fit-contain" /> </div> <div class="devtool-thumbnail fill-white xs-border-lighter txt-center xs-mr1 xs-mb2"> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x303_1579634139.png" id="devtool-1" class="xs-w100 xs-full-height obj-fit-contain" /> </div> </div> </div> <div class="md-w60 md-pl4 md-pl4 md-pt0 xs-w100 xs-pl0 xs-pl0 xs-pt2"> <div class="xs-flex xs-flex-justify-space-between xs-flex-align-center xs-border-lighter fill-white xs-p2"> <div class="xs-mt1 xs-mb1"> <div class="xs-text-5"><span class="bold xs-mr1">Part Number:</span><span id="part-number-value">BBONE-AI</span></div> </div> <div class="xs-text-right xs-mr2"> <a id="e14-product-link-ac325" data-at-areainteracted="design-center" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3132825&nsku=10AH2651&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('ac325'));" data-farnell="3132825" data-newark="10AH2651" data-comoverride="" data-cmpoverride="" data-cpc="SC15585" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </div> </div> </div> </div> <div class="xs-mt3"> <p>BeagleBone&reg; AI, a new addition to the BeagleBoard.org&reg; BeagleBone&reg; family, is a high-end Single Board Computer aimed at developers interested in implementing machine-learning and computer vision with simplicity.</p> <p>BeagleBone&reg; AI is the most powerful BeagleBone&reg; ever developed with dual-core ARM Cortex-A15 running at 1.5 GHz, 16GB on-board eMMC flash, a SuperSpeed USB Type-C interface, Gigabit Ethernet and dual band wireless connectivity. BeagleBone&reg; AI simplify the use of artificial intelligence (AI) in daily application via the TI C66x digital-signal-processor (DSP) cores, two dual-core ARM Cortex-M4 co-processors for real-time control, two dual-core&nbsp;Programmable Real-Time Unit&nbsp;(PRU) subsystems and four&nbsp;Embedded Vision Engines(EVEs) supported through an optimized TIDL machine learning OpenCL API with pre-installed tools. The BeagleBone&reg; AI also has an additional dual-core PowerVR SGX544 3D GPU and a Vivante GC320 2D graphics accelerator. Focused on everyday automation in industrial, commercial and home applications.</p> <p>BeagleBone&reg; AI comes in a similar form-fact as BeagleBone&reg; Black and compatible with many BeagleBone&reg; Cape add-on boards make it easy to extend the functionality.<br /><br /></p> <p><strong>Features:</strong></p> <ul> <li>TI AM5729 Dual Core ARM Cortex-A15 processor running at 1.5GHz</li> <li>Dual C66 DSP, Four ARM Cortex-M4, Four PRU and Four Embedded Vision Engine</li> <li>Four Programmable Real-time Units (PRUs)</li> <li>Memory: 1GB RAM and 16GB on-board eMMC Flash</li> <li>Connectivity: Gigabit Ethernet, 2.4/5GHz WiFi, and Bluetooth</li> <li>USB Type-C for power and superspeed dual-role controller</li> <li>USB type-A host</li> <li>Audio &amp; Video: microHDMI</li> <li>Headers compatible with manyBeagleBone&reg; Cape add-on boards</li> <li>Zero-download out-of-box software experience</li> </ul> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Features</h3> <p><strong>Processor &amp; Co-Processors:</strong></p> <ul> <li>Main Processor Features of the AM5729 Within BeagleBone&reg; AI</li> <li>Dual 1.5GHz ARM&reg; Cortex&reg;-A15 with out-of-order speculative issue 3-way superscalar execution pipeline for the fastest execution of existing 32-bit code</li> <li>2 C66x Floating-Point VLIW DSP supported by OpenCL</li> <li>4 Embedded Vision Engines (EVEs) supported by TIDL machine learning library</li> <li>2x Dual-Core Programmable Real-Time Unit (PRU) subsystems (4 PRUs total) for ultra low-latency control and software generated peripherals</li> <li>2x Dual ARM&reg; Cortex&reg;-M4 co-processors for real-time control</li> <li>IVA-HD subsystem with support for 4K @ 15fps H.264 encode/decode and other codecs @ 1080p60</li> <li>Vivante&reg; GC320 2D graphics accelerator</li> <li>Dual-Core PowerVR&reg; SGX544&trade; 3D GPU</li> <li>2x46 expansion headers compatible with many BeagleBone&reg; cape add-on boards <ul> <li>16-bit LCD interfaces</li> <li>4+ UARTs</li> <li>2 I2C ports</li> <li>2 SPI ports</li> <li>Lots of PRU I/O pins</li> </ul> </li> </ul> <p><strong>Memory</strong></p> <ul> <li>1GB RAM</li> <li>16GB on-board eMMC flash</li> </ul> <p><strong>Connectors</strong></p> <ul> <li>USB Type-C connector for power and SuperSpeed dual-role controller</li> <li>USB Type-A high-speed host</li> <li>Gigabit Ethernet</li> <li>Serial debug header</li> </ul> <p><strong>Wireless Connectivity </strong></p> <ul> <li>11ac 2.4/5GHz WiFi via the AzureWave AW-CM256SM</li> <li>Bluetooth 4.2 and Bluetooth Low Energy via the AzureWave AW-CM256SM</li> </ul> <p><strong>Out of Box Software</strong></p> <ul> <li>Zero-download out of box software environment</li> <li>Self-hosted web IDE with local compilers, libraries and examples</li> <li>Debian distribution (initially version 9.9, 10.0 available)</li> <li>Linux kernel support (initially 4.14, with 4.19 and 5.2 available)</li> <li>Connectivity via USB gadget (network/serial), WiFi access point and station, Ethernet, and serial debug header</li> </ul> <h3 class="toc-item xs-pb2 xs-border-bottom">Ships With</h3> <ul> <li>BeagleBone&reg; AI Board <ul> <li>Pre-mounted heatsink and antenna</li> <li>Pre-programmed with a Linux distribution, developers can get up and running in 5-minutes</li> </ul> </li> <li>Quick Start Guide</li> </ul> <div id="devtool-required-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Required Tools</h3> <div id="devtool-required-devtools-content"></div> </div> <div id="devtool-accessory-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Accessory Tools</h3> <div id="devtool-accessory-devtools-content"></div> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Documents</h3> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Quick Start Guide</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-pdf"></i> <a href="https://www.element14.com/community/docs/DOC-93226/l/bbai-quick-start-guidepdf" target="_blank">BeagleBone<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> AIQuick start guide (pdf)</a> </div> </div> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Reference Manual</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-code"></i> <a href="https://github.com/beagleboard/beaglebone-ai/wiki/System-Reference-Manual" target="_blank">BeagleBone AI System Reference Manual (html)</a> </div> </div> </div> <div style="clear:both;"></div> <div style="font-size: 90%;">Tags: embedded vision, image processing, internet of things, artificial intelligence, beagleboard.org, single_board_computers, single board computers (sbc), BeagleBone, machine learning, ai, mcu, iot, beagleboard, texas instruments, development_platforms_kits, computer vision, automation</div> https://community.element14.com/products/devtools/product-pages/w/documents/23034/beaglebone-ai---fast-track-for-embedded-machine-learning/revision/3Thu, 16 Dec 2021 23:40:33 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:d6c29d56-903e-4fb7-ad78-2e58425ea4dde14-publisherhttps://community.element14.com/products/devtools/product-pages/w/documents/23034/beaglebone-ai---fast-track-for-embedded-machine-learning#commentsRevision 3 posted to Documents by e14-publisher on 12/16/2021 11:40:33 PM<br /> <div class="xs-hide"> <script>e14.meta.page.devtools={"id": 5147, "type": "devtool", "part_number": "BBONE-AI" };</script> </div> <div id="product-page-content"> <h1 class="xs-mt0 xs-mb2">BeagleBone<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> AI - Fast Track for Embedded Machine Learning</h1> <div class="xs-mb3"><span class="bold xs-mr1">Manufactured By:</span>beagleboard.org</div> <div class="xs-flex md-flex-row xs-flex-column"> <div class="md-w40 xs-w100"> <div id="devtool-primary-image" class="devtool-primary-image-container fill-white"> <img alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x333_1579634138.jpg" class="devtool-image-devtool-0 xs-w100 xs-full-height fill-white obj-fit-contain xs-block" /> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x303_1579634139.png" class="devtool-image-devtool-1 xs-w100 xs-full-height fill-white obj-fit-contain xs-hide" /> </div> <div class="xs-flex xs-flex-wrap xs-mt2"> <div class="devtool-thumbnail fill-white xs-border-lighter txt-center xs-mr1 xs-mb2"> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x333_1579634138.jpg" id="devtool-0" class="xs-w100 xs-full-height obj-fit-contain" /> </div> <div class="devtool-thumbnail fill-white xs-border-lighter txt-center xs-mr1 xs-mb2"> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x303_1579634139.png" id="devtool-1" class="xs-w100 xs-full-height obj-fit-contain" /> </div> </div> </div> <div class="md-w60 md-pl4 md-pl4 md-pt0 xs-w100 xs-pl0 xs-pl0 xs-pt2"> <div class="xs-flex xs-flex-justify-space-between xs-flex-align-center xs-border-lighter fill-white xs-p2"> <div class="xs-mt1 xs-mb1"> <div class="xs-text-5"><span class="bold xs-mr1">Part Number:</span><span id="part-number-value">BBONE-AI</span></div> </div> <div class="xs-text-right xs-mr2"> <a id="e14-product-link-f24b6" data-at-areainteracted="design-center" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3132825&nsku=10AH2651&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('f24b6'));" data-farnell="3132825" data-newark="10AH2651" data-comoverride="" data-cmpoverride="" data-cpc="SC15585" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </div> </div> </div> </div> <div class="xs-mt3"> <p>BeagleBone&reg; AI, a new addition to the BeagleBoard.org&reg; BeagleBone&reg; family, is a high-end Single Board Computer aimed at developers interested in implementing machine-learning and computer vision with simplicity.</p> <p>BeagleBone&reg; AI is the most powerful BeagleBone&reg; ever developed with dual-core ARM Cortex-A15 running at 1.5 GHz, 16GB on-board eMMC flash, a SuperSpeed USB Type-C interface, Gigabit Ethernet and dual band wireless connectivity. BeagleBone&reg; AI simplify the use of artificial intelligence (AI) in daily application via the TI C66x digital-signal-processor (DSP) cores, two dual-core ARM Cortex-M4 co-processors for real-time control, two dual-core&nbsp;Programmable Real-Time Unit&nbsp;(PRU) subsystems and four&nbsp;Embedded Vision Engines(EVEs) supported through an optimized TIDL machine learning OpenCL API with pre-installed tools. The BeagleBone&reg; AI also has an additional dual-core PowerVR SGX544 3D GPU and a Vivante GC320 2D graphics accelerator. Focused on everyday automation in industrial, commercial and home applications.</p> <p>BeagleBone&reg; AI comes in a similar form-fact as BeagleBone&reg; Black and compatible with many BeagleBone&reg; Cape add-on boards make it easy to extend the functionality.<br /><br /></p> <p><strong>Features:</strong></p> <ul> <li>TI AM5729 Dual Core ARM Cortex-A15 processor running at 1.5GHz</li> <li>Dual C66 DSP, Four ARM Cortex-M4, Four PRU and Four Embedded Vision Engine</li> <li>Four Programmable Real-time Units (PRUs)</li> <li>Memory: 1GB RAM and 16GB on-board eMMC Flash</li> <li>Connectivity: Gigabit Ethernet, 2.4/5GHz WiFi, and Bluetooth</li> <li>USB Type-C for power and superspeed dual-role controller</li> <li>USB type-A host</li> <li>Audio &amp; Video: microHDMI</li> <li>Headers compatible with manyBeagleBone&reg; Cape add-on boards</li> <li>Zero-download out-of-box software experience</li> </ul> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Features</h3> <p><strong>Processor &amp; Co-Processors:</strong></p> <ul> <li>Main Processor Features of the AM5729 Within BeagleBone&reg; AI</li> <li>Dual 1.5GHz ARM&reg; Cortex&reg;-A15 with out-of-order speculative issue 3-way superscalar execution pipeline for the fastest execution of existing 32-bit code</li> <li>2 C66x Floating-Point VLIW DSP supported by OpenCL</li> <li>4 Embedded Vision Engines (EVEs) supported by TIDL machine learning library</li> <li>2x Dual-Core Programmable Real-Time Unit (PRU) subsystems (4 PRUs total) for ultra low-latency control and software generated peripherals</li> <li>2x Dual ARM&reg; Cortex&reg;-M4 co-processors for real-time control</li> <li>IVA-HD subsystem with support for 4K @ 15fps H.264 encode/decode and other codecs @ 1080p60</li> <li>Vivante&reg; GC320 2D graphics accelerator</li> <li>Dual-Core PowerVR&reg; SGX544&trade; 3D GPU</li> <li>2x46 expansion headers compatible with many BeagleBone&reg; cape add-on boards <ul> <li>16-bit LCD interfaces</li> <li>4+ UARTs</li> <li>2 I2C ports</li> <li>2 SPI ports</li> <li>Lots of PRU I/O pins</li> </ul> </li> </ul> <p><strong>Memory</strong></p> <ul> <li>1GB RAM</li> <li>16GB on-board eMMC flash</li> </ul> <p><strong>Connectors</strong></p> <ul> <li>USB Type-C connector for power and SuperSpeed dual-role controller</li> <li>USB Type-A high-speed host</li> <li>Gigabit Ethernet</li> <li>Serial debug header</li> </ul> <p><strong>Wireless Connectivity </strong></p> <ul> <li>11ac 2.4/5GHz WiFi via the AzureWave AW-CM256SM</li> <li>Bluetooth 4.2 and Bluetooth Low Energy via the AzureWave AW-CM256SM</li> </ul> <p><strong>Out of Box Software</strong></p> <ul> <li>Zero-download out of box software environment</li> <li>Self-hosted web IDE with local compilers, libraries and examples</li> <li>Debian distribution (initially version 9.9, 10.0 available)</li> <li>Linux kernel support (initially 4.14, with 4.19 and 5.2 available)</li> <li>Connectivity via USB gadget (network/serial), WiFi access point and station, Ethernet, and serial debug header</li> </ul> <h3 class="toc-item xs-pb2 xs-border-bottom">Ships With</h3> <ul> <li>BeagleBone&reg; AI Board <ul> <li>Pre-mounted heatsink and antenna</li> <li>Pre-programmed with a Linux distribution, developers can get up and running in 5-minutes</li> </ul> </li> <li>Quick Start Guide</li> </ul> <div id="devtool-required-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Required Tools</h3> <div id="devtool-required-devtools-content"></div> </div> <div id="devtool-accessory-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Accessory Tools</h3> <div id="devtool-accessory-devtools-content"></div> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Documents</h3> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Quick Start Guide</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-pdf"></i> <a href="https://www.element14.com/community/docs/DOC-93226/l/bbai-quick-start-guidepdf" target="_blank">BeagleBone<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> AIQuick start guide (pdf)</a> </div> </div> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Reference Manual</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-code"></i> <a href="https://github.com/beagleboard/beaglebone-ai/wiki/System-Reference-Manual" target="_blank">BeagleBone AI System Reference Manual (html)</a> </div> </div> </div> <div style="clear:both;"></div> <div style="font-size: 90%;">Tags: embedded vision, image processing, internet of things, artificial intelligence, beagleboard.org, single_board_computers, single board computers (sbc), BeagleBone, machine learning, ai, mcu, iot, beagleboard, texas instruments, development_platforms_kits, computer vision, automation</div> https://community.element14.com/products/devtools/product-pages/w/documents/23034/beaglebone-ai---fast-track-for-embedded-machine-learning/revision/2Thu, 16 Dec 2021 03:29:24 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:d6c29d56-903e-4fb7-ad78-2e58425ea4dde14-publisherhttps://community.element14.com/products/devtools/product-pages/w/documents/23034/beaglebone-ai---fast-track-for-embedded-machine-learning#commentsRevision 2 posted to Documents by e14-publisher on 12/16/2021 3:29:24 AM<br /> <div class="xs-hide"> <script>e14.meta.page.devtools={"id": 5147, "type": "devtool", "part_number": "BBONE-AI" };</script> </div> <div id="product-page-content"> <h1 class="xs-mt0 xs-mb2">BeagleBone<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> AI - Fast Track for Embedded Machine Learning</h1> <div class="xs-mb3"><span class="bold xs-mr1">Manufactured By:</span>beagleboard.org</div> <div class="xs-flex md-flex-row xs-flex-column"> <div class="md-w40 xs-w100"> <div id="devtool-primary-image" class="devtool-primary-image-container fill-white"> <img alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x333_1579634138.jpg" class="devtool-image-devtool-0 xs-w100 xs-full-height fill-white obj-fit-contain xs-block" /> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x303_1579634139.png" class="devtool-image-devtool-1 xs-w100 xs-full-height fill-white obj-fit-contain xs-hide" /> </div> <div class="xs-flex xs-flex-wrap xs-mt2"> <div class="devtool-thumbnail fill-white xs-border-lighter txt-center xs-mr1 xs-mb2"> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x333_1579634138.jpg" id="devtool-0" class="xs-w100 xs-full-height obj-fit-contain" /> </div> <div class="devtool-thumbnail fill-white xs-border-lighter txt-center xs-mr1 xs-mb2"> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x303_1579634139.png" id="devtool-1" class="xs-w100 xs-full-height obj-fit-contain" /> </div> </div> </div> <div class="md-w60 md-pl4 md-pl4 md-pt0 xs-w100 xs-pl0 xs-pl0 xs-pt2"> <div class="xs-flex xs-flex-justify-space-between xs-flex-align-center xs-border-lighter fill-white xs-p2"> <div class="xs-mt1 xs-mb1"> <div class="xs-text-5"><span class="bold xs-mr1">Part Number:</span><span id="part-number-value">BBONE-AI</span></div> </div> <div class="xs-text-right xs-mr2"> <a id="e14-product-link-056f5" data-at-areainteracted="design-center" data-at-type="click" data-at-link-type="button" href="javascript:void(0)" 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('056f5'));" data-farnell="" data-newark="" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </div> </div> </div> </div> <div class="xs-mt3"> <p>BeagleBone&reg; AI, a new addition to the BeagleBoard.org&reg; BeagleBone&reg; family, is a high-end Single Board Computer aimed at developers interested in implementing machine-learning and computer vision with simplicity.</p> <p>BeagleBone&reg; AI is the most powerful BeagleBone&reg; ever developed with dual-core ARM Cortex-A15 running at 1.5 GHz, 16GB on-board eMMC flash, a SuperSpeed USB Type-C interface, Gigabit Ethernet and dual band wireless connectivity. BeagleBone&reg; AI simplify the use of artificial intelligence (AI) in daily application via the TI C66x digital-signal-processor (DSP) cores, two dual-core ARM Cortex-M4 co-processors for real-time control, two dual-core&nbsp;Programmable Real-Time Unit&nbsp;(PRU) subsystems and four&nbsp;Embedded Vision Engines(EVEs) supported through an optimized TIDL machine learning OpenCL API with pre-installed tools. The BeagleBone&reg; AI also has an additional dual-core PowerVR SGX544 3D GPU and a Vivante GC320 2D graphics accelerator. Focused on everyday automation in industrial, commercial and home applications.</p> <p>BeagleBone&reg; AI comes in a similar form-fact as BeagleBone&reg; Black and compatible with many BeagleBone&reg; Cape add-on boards make it easy to extend the functionality.<br /><br /></p> <p><strong>Features:</strong></p> <ul> <li>TI AM5729 Dual Core ARM Cortex-A15 processor running at 1.5GHz</li> <li>Dual C66 DSP, Four ARM Cortex-M4, Four PRU and Four Embedded Vision Engine</li> <li>Four Programmable Real-time Units (PRUs)</li> <li>Memory: 1GB RAM and 16GB on-board eMMC Flash</li> <li>Connectivity: Gigabit Ethernet, 2.4/5GHz WiFi, and Bluetooth</li> <li>USB Type-C for power and superspeed dual-role controller</li> <li>USB type-A host</li> <li>Audio &amp; Video: microHDMI</li> <li>Headers compatible with manyBeagleBone&reg; Cape add-on boards</li> <li>Zero-download out-of-box software experience</li> </ul> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Features</h3> <p><strong>Processor &amp; Co-Processors:</strong></p> <ul> <li>Main Processor Features of the AM5729 Within BeagleBone&reg; AI</li> <li>Dual 1.5GHz ARM&reg; Cortex&reg;-A15 with out-of-order speculative issue 3-way superscalar execution pipeline for the fastest execution of existing 32-bit code</li> <li>2 C66x Floating-Point VLIW DSP supported by OpenCL</li> <li>4 Embedded Vision Engines (EVEs) supported by TIDL machine learning library</li> <li>2x Dual-Core Programmable Real-Time Unit (PRU) subsystems (4 PRUs total) for ultra low-latency control and software generated peripherals</li> <li>2x Dual ARM&reg; Cortex&reg;-M4 co-processors for real-time control</li> <li>IVA-HD subsystem with support for 4K @ 15fps H.264 encode/decode and other codecs @ 1080p60</li> <li>Vivante&reg; GC320 2D graphics accelerator</li> <li>Dual-Core PowerVR&reg; SGX544&trade; 3D GPU</li> <li>2x46 expansion headers compatible with many BeagleBone&reg; cape add-on boards <ul> <li>16-bit LCD interfaces</li> <li>4+ UARTs</li> <li>2 I2C ports</li> <li>2 SPI ports</li> <li>Lots of PRU I/O pins</li> </ul> </li> </ul> <p><strong>Memory</strong></p> <ul> <li>1GB RAM</li> <li>16GB on-board eMMC flash</li> </ul> <p><strong>Connectors</strong></p> <ul> <li>USB Type-C connector for power and SuperSpeed dual-role controller</li> <li>USB Type-A high-speed host</li> <li>Gigabit Ethernet</li> <li>Serial debug header</li> </ul> <p><strong>Wireless Connectivity </strong></p> <ul> <li>11ac 2.4/5GHz WiFi via the AzureWave AW-CM256SM</li> <li>Bluetooth 4.2 and Bluetooth Low Energy via the AzureWave AW-CM256SM</li> </ul> <p><strong>Out of Box Software</strong></p> <ul> <li>Zero-download out of box software environment</li> <li>Self-hosted web IDE with local compilers, libraries and examples</li> <li>Debian distribution (initially version 9.9, 10.0 available)</li> <li>Linux kernel support (initially 4.14, with 4.19 and 5.2 available)</li> <li>Connectivity via USB gadget (network/serial), WiFi access point and station, Ethernet, and serial debug header</li> </ul> <h3 class="toc-item xs-pb2 xs-border-bottom">Ships With</h3> <ul> <li>BeagleBone&reg; AI Board <ul> <li>Pre-mounted heatsink and antenna</li> <li>Pre-programmed with a Linux distribution, developers can get up and running in 5-minutes</li> </ul> </li> <li>Quick Start Guide</li> </ul> <div id="devtool-required-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Required Tools</h3> <div id="devtool-required-devtools-content"></div> </div> <div id="devtool-accessory-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Accessory Tools</h3> <div id="devtool-accessory-devtools-content"></div> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Documents</h3> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Quick Start Guide</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-pdf"></i> <a href="https://www.element14.com/community/docs/DOC-93226/l/bbai-quick-start-guidepdf" target="_blank">BeagleBone<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> AIQuick start guide (pdf)</a> </div> </div> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Reference Manual</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-code"></i> <a href="https://github.com/beagleboard/beaglebone-ai/wiki/System-Reference-Manual" target="_blank">BeagleBone AI System Reference Manual (html)</a> </div> </div> </div> <div style="clear:both;"></div> <div style="font-size: 90%;">Tags: embedded vision, image processing, internet of things, artificial intelligence, beagleboard.org, single_board_computers, single board computers (sbc), BeagleBone, machine learning, ai, mcu, iot, beagleboard, texas instruments, development_platforms_kits, computer vision, automation</div> https://community.element14.com/products/devtools/product-pages/w/documents/23034/beaglebone-ai---fast-track-for-embedded-machine-learning/revision/1Mon, 18 Oct 2021 20:30:55 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:d6c29d56-903e-4fb7-ad78-2e58425ea4dde14-publisherhttps://community.element14.com/products/devtools/product-pages/w/documents/23034/beaglebone-ai---fast-track-for-embedded-machine-learning#commentsRevision 1 posted to Documents by e14-publisher on 10/18/2021 8:30:55 PM<br /> <div class="xs-hide"> <script>e14.meta.page.devtools={"id": 5147, "type": "devtool", "part_number": "BBONE-AI" };</script> </div> <div id="product-page-content"> <h1 class="xs-mt0 xs-mb2">BeagleBone<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> AI - Fast Track for Embedded Machine Learning</h1> <div class="xs-mb3"><span class="bold xs-mr1">Manufactured By:</span>beagleboard.org</div> <div class="xs-flex md-flex-row xs-flex-column"> <div class="md-w40 xs-w100"> <div id="devtool-primary-image" class="devtool-primary-image-container fill-white"> <img alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x333_1579634138.jpg" class="devtool-image-devtool-0 xs-w100 xs-full-height fill-white obj-fit-contain xs-block" /> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x303_1579634139.png" class="devtool-image-devtool-1 xs-w100 xs-full-height fill-white obj-fit-contain xs-hide" /> </div> <div class="xs-flex xs-flex-wrap xs-mt2"> <div class="devtool-thumbnail fill-white xs-border-lighter txt-center xs-mr1 xs-mb2"> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x333_1579634138.jpg" id="devtool-0" class="xs-w100 xs-full-height obj-fit-contain" /> </div> <div class="devtool-thumbnail fill-white xs-border-lighter txt-center xs-mr1 xs-mb2"> <img loading="lazy" alt="image" src="https://community-dc-assets.element14.com/images/devtool/size500/beaglebone_ai__fast_track_for_embedded_machine_learning_500x303_1579634139.png" id="devtool-1" class="xs-w100 xs-full-height obj-fit-contain" /> </div> </div> </div> <div class="md-w60 md-pl4 md-pl4 md-pt0 xs-w100 xs-pl0 xs-pl0 xs-pt2"> <div class="xs-flex xs-flex-justify-space-between xs-flex-align-center xs-border-lighter fill-white xs-p2"> <div class="xs-mt1 xs-mb1"> <div class="xs-text-5"><span class="bold xs-mr1">Part Number:</span><span id="part-number-value">BBONE-AI</span></div> </div> <div class="xs-text-right xs-mr2"> <a id="e14-product-link-17338" data-at-areainteracted="rte-content" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=3132825&nsku=10AH2651&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('17338'));" data-farnell="3132825" data-newark="10AH2651" data-comoverride="" data-cmpoverride="" data-cpc="SC15585" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </div> </div> </div> </div> <div class="xs-mt3"> <p>BeagleBone&reg; AI, a new addition to the BeagleBoard.org&reg; BeagleBone&reg; family, is a high-end Single Board Computer aimed at developers interested in implementing machine-learning and computer vision with simplicity.</p> <p>BeagleBone&reg; AI is the most powerful BeagleBone&reg; ever developed with dual-core ARM Cortex-A15 running at 1.5 GHz, 16GB on-board eMMC flash, a SuperSpeed USB Type-C interface, Gigabit Ethernet and dual band wireless connectivity. BeagleBone&reg; AI simplify the use of artificial intelligence (AI) in daily application via the TI C66x digital-signal-processor (DSP) cores, two dual-core ARM Cortex-M4 co-processors for real-time control, two dual-core&nbsp;Programmable Real-Time Unit&nbsp;(PRU) subsystems and four&nbsp;Embedded Vision Engines(EVEs) supported through an optimized TIDL machine learning OpenCL API with pre-installed tools. The BeagleBone&reg; AI also has an additional dual-core PowerVR SGX544 3D GPU and a Vivante GC320 2D graphics accelerator. Focused on everyday automation in industrial, commercial and home applications.</p> <p>BeagleBone&reg; AI comes in a similar form-fact as BeagleBone&reg; Black and compatible with many BeagleBone&reg; Cape add-on boards make it easy to extend the functionality.<br /><br /></p> <p><strong>Features:</strong></p> <ul> <li>TI AM5729 Dual Core ARM Cortex-A15 processor running at 1.5GHz</li> <li>Dual C66 DSP, Four ARM Cortex-M4, Four PRU and Four Embedded Vision Engine</li> <li>Four Programmable Real-time Units (PRUs)</li> <li>Memory: 1GB RAM and 16GB on-board eMMC Flash</li> <li>Connectivity: Gigabit Ethernet, 2.4/5GHz WiFi, and Bluetooth</li> <li>USB Type-C for power and superspeed dual-role controller</li> <li>USB type-A host</li> <li>Audio &amp; Video: microHDMI</li> <li>Headers compatible with manyBeagleBone&reg; Cape add-on boards</li> <li>Zero-download out-of-box software experience</li> </ul> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Features</h3> <p><strong>Processor &amp; Co-Processors:</strong></p> <ul> <li>Main Processor Features of the AM5729 Within BeagleBone&reg; AI</li> <li>Dual 1.5GHz ARM&reg; Cortex&reg;-A15 with out-of-order speculative issue 3-way superscalar execution pipeline for the fastest execution of existing 32-bit code</li> <li>2 C66x Floating-Point VLIW DSP supported by OpenCL</li> <li>4 Embedded Vision Engines (EVEs) supported by TIDL machine learning library</li> <li>2x Dual-Core Programmable Real-Time Unit (PRU) subsystems (4 PRUs total) for ultra low-latency control and software generated peripherals</li> <li>2x Dual ARM&reg; Cortex&reg;-M4 co-processors for real-time control</li> <li>IVA-HD subsystem with support for 4K @ 15fps H.264 encode/decode and other codecs @ 1080p60</li> <li>Vivante&reg; GC320 2D graphics accelerator</li> <li>Dual-Core PowerVR&reg; SGX544&trade; 3D GPU</li> <li>2x46 expansion headers compatible with many BeagleBone&reg; cape add-on boards <ul> <li>16-bit LCD interfaces</li> <li>4+ UARTs</li> <li>2 I2C ports</li> <li>2 SPI ports</li> <li>Lots of PRU I/O pins</li> </ul> </li> </ul> <p><strong>Memory</strong></p> <ul> <li>1GB RAM</li> <li>16GB on-board eMMC flash</li> </ul> <p><strong>Connectors</strong></p> <ul> <li>USB Type-C connector for power and SuperSpeed dual-role controller</li> <li>USB Type-A high-speed host</li> <li>Gigabit Ethernet</li> <li>Serial debug header</li> </ul> <p><strong>Wireless Connectivity </strong></p> <ul> <li>11ac 2.4/5GHz WiFi via the AzureWave AW-CM256SM</li> <li>Bluetooth 4.2 and Bluetooth Low Energy via the AzureWave AW-CM256SM</li> </ul> <p><strong>Out of Box Software</strong></p> <ul> <li>Zero-download out of box software environment</li> <li>Self-hosted web IDE with local compilers, libraries and examples</li> <li>Debian distribution (initially version 9.9, 10.0 available)</li> <li>Linux kernel support (initially 4.14, with 4.19 and 5.2 available)</li> <li>Connectivity via USB gadget (network/serial), WiFi access point and station, Ethernet, and serial debug header</li> </ul> <h3 class="toc-item xs-pb2 xs-border-bottom">Ships With</h3> <ul> <li>BeagleBone&reg; AI Board <ul> <li>Pre-mounted heatsink and antenna</li> <li>Pre-programmed with a Linux distribution, developers can get up and running in 5-minutes</li> </ul> </li> <li>Quick Start Guide</li> </ul> <div id="devtool-required-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Required Tools</h3> <div id="devtool-required-devtools-content"></div> </div> <div id="devtool-accessory-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Accessory Tools</h3> <div id="devtool-accessory-devtools-content"></div> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Documents</h3> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Quick Start Guide</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-pdf"></i> <a href="https://www.element14.com/community/docs/DOC-93226/l/bbai-quick-start-guidepdf" target="_blank">BeagleBone<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> AIQuick start guide (pdf)</a> </div> </div> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Reference Manual</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-code"></i> <a href="https://github.com/beagleboard/beaglebone-ai/wiki/System-Reference-Manual" target="_blank">BeagleBone AI System Reference Manual (html)</a> </div> </div> </div> <div style="clear:both;"></div> <div style="font-size: 90%;">Tags: embedded vision, image processing, internet of things, artificial intelligence, beagleboard.org, single_board_computers, single board computers (sbc), BeagleBone, machine learning, ai, mcu, iot, beagleboard, texas instruments, development_platforms_kits, computer vision, automation</div>