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Vision Thing
Documents Project14 | Vision Thing: Beaglebone AI Your Vision Thing Project!
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  • Author Author: tariq.ahmad
  • Date Created: 9 Sep 2019 7:08 PM Date Created
  • Last Updated Last Updated: 5 Nov 2019 10:25 PM
  • Views 6385 views
  • Likes 12 likes
  • Comments 57 comments
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Project14 | Vision Thing: Beaglebone AI Your Vision Thing Project!

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Vision Thing

Enter Your Project for a chance to win an Oscilloscope Grand Prize Package for the Most Creative Vision Thing Project!

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In the Comments Below: Tell Us How You Would Use the BeagleBone AI for Your Vision Thing Project!

 

We'll Send Out Boards for Project Proposals that Use Them! 

 

 

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We are offering up to 20 FREE Beaglebone AI Boards in exchange for Vision Thing projects that use them!

 

Beaglebone AI Cooling Cape Addon Available from mayermakes:  BB AI cooling Addon board available

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We are offering up to 20 FREE Beaglebone AI Boards in exchange for Vision Thing projects that use them!

 

What is a Vision Thing project and how do you use the BeagleBone AI to do one?

 

There's a lot of variety with how you choose to implement your project.  It's a great opportunity to do something creative that stretches the imagination of what hardware can do.  Your project can be either a vision based project involving anything that is related to Computer Vision and Machine Learning , Camera Vision and AI based projects, Deep Learning, using hardware.  Or, it can be a graphics project involving something graphical such as adding a graphical display to a microcontroller, image processing on a microcontroller, image recognition interface a camera to a microcontroller,  or FPGA - camera interfacing/image processing/graphical display.

 

What makes the Beaglebone AI suitable for Vision Thing  Projects?

 

BeagleBone AI is a high-end board for developers building artificial-intelligence and computer-vision applications. Its main AI features include a Texas Instruments (TI) AM5729 system on chip (SoC), TI C66x digital-signal-processor (DSP) cores and embedded-vision-engine (EVE) cores. The board has the same form-factor as the popular and cheap BeagleBone Black but with much higher specifications.

 

  • It features a completely open source design: https://github.com/beagleboard/beaglebone-ai

 

The AI-ready board comes with 1GB RAM and 16GB on-board eMMC flash with a high-speed interface, a USB Type-C port for power and a dual-role controller, and a USB Type-A host. There's also Gigabit Ethernet and Wi-Fi. With preinstalled software, the BeagleBone AI also saves buyers from having to download equipment to get the device up and running.

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The Most Creative Vision Thing Wins a Keysight DSOXO11G Oscilloscope!

Learn more by visiting:

  • BeagleBoneRegistered AI - Technical Specifications
  • BeagleBoneRegistered AI - Frequently Asked Questions (FAQ)
  • BeagleBoneRegistered Black, Blue, Wireless, Industrial, Green, AI Comparison Chart
  • BeagleBoneRegistered AI - Getting Started

So: what do you have to do to be in the running for one of the brand new Beagleboard AI? Just follow the instructions below!

 

1. Register and/or log-in to the element14 Community

2. Leave a comment on this post or on Project14 | Vision Thing: Build Things Using Graphics, AI, Computer Vision, & Beyond!  telling us what you'd like to build for your Vision Thing project with the new Beagleboard AI!

3.  Once you receive a new board submit your finished Vision Thing  project for a chance to win a Keysight DSOXO11G Oscilloscope!

 

 

The Most Promising Vision Thing Project Proposals Win a Free Beaglebone AI to Use In Your Vision Thing Project!

 

Submit Your Completed Project in Vision Thing  for a Chance to Win a Keysight DSOXO11G Oscilloscope!

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Top Comments

  • dubbie
    dubbie over 6 years ago +5
    Having more-or-less decided on something for the Vision Thing based on Arduino and possibly Processing as well, I have just seen this opportunity to use the BeagleBone AI. Being mostly used to using Arduino…
  • Fred27
    Fred27 over 6 years ago +5
    A friend is heavily involved in canoe racing. Apparently the timing is a haphazard affair with people pressing stopwatches, writing down the number on the canoe, entering it into Excel, etc. It's fraught…
  • kk99
    kk99 over 6 years ago +3
    Few years ago I saw attempt to use neural networks for image classification for computer aided diagnosis (CAD) e.g. initial check for the presence of *** cancer on images.
Parents
  • vlasov01
    vlasov01 over 6 years ago

    Hi,

    I'd like to build a in-car safety device, which will monitor driver's attention to the road and create alerts if driver become sleepy.

    It will use BB-AI to detect and analyze drivers face, eyes, check if they are open, if they are focused on the road.

    The video stream will be captured by a USB and processed by OpenCV.

    In addition it can be connected to a gas analyzer to detect if level of CO2 and TVOC are safe.

     

    Thank you for reading my entry!

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  • vlasov01
    vlasov01 over 6 years ago

    Hi,

    I'd like to build a in-car safety device, which will monitor driver's attention to the road and create alerts if driver become sleepy.

    It will use BB-AI to detect and analyze drivers face, eyes, check if they are open, if they are focused on the road.

    The video stream will be captured by a USB and processed by OpenCV.

    In addition it can be connected to a gas analyzer to detect if level of CO2 and TVOC are safe.

     

    Thank you for reading my entry!

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  • dubbie
    dubbie over 6 years ago in reply to vlasov01

    Another good idea. I have battled with tiredness myself when driving. Not so much now as I no longer drive long distances to work but family visits still happen. Usually I just stop for break and/or sleep. There's nothing like a 10 minutes snooze when you get tired driving.

     

    Dubbie

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  • vlasov01
    vlasov01 over 6 years ago in reply to dubbie

    The statistics is quite alarming in this regard..Here are the quotes from US  https://www.cdc.gov/features/dsdrowsydriving/index.html

    • An estimated 1 in 25 adult drivers (aged 18 years or older) report having fallen asleep while driving in the previous 30 days.
    • The National Highway Traffic Safety Administration estimates that drowsy driving was responsible for 72,000 crashes, 44,000 injuries, and 800 deaths in 2013.3 However, these numbers are underestimated and up to 6,000 fatal crashes each year may be caused by drowsy drivers.

    I think there is a lot of value to have a robust solution for this safety challenge.

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