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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 6372 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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Buy NowBuy Now
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.
  • dubbie
    dubbie over 6 years ago in reply to tushar19

    Good idea. Although, there are not too many wild leopards or tigers running around free in the UK. Will it work with domestic cats? Especially the ones that dig up my garden?

     

    Dubbie

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  • mdombro
    mdombro over 6 years ago

    I have an idea of building an autonomous camera panning and zooming system. You would point the camera at an object you wish to track and then the system would try to always keep that object in the center of the frame. As the object moves the tracking algorithm would indicate how the camera needs to pan (up/down, left or right, how fast, etc) and then control signals for a gimbal could be generated. Additionally, the tracking algorithm could estimate the apparent size of the object, and direct an additional motor to control the zoom level of a camera to keep the object roughly the same size in the frame regardless of object range (within the limits of the lens zoom capability).

     

    The potential use cases could be keeping a camera on someone filming a video solo (like youtube vloggers), tracking race cars around a track, tracking radio control aircraft through its flight, or any situation where someone wants to film within a larger area but does not have a person who can man a camera.

     

    An additional goal of this system would be to allow various cameras to be used with it, rather than having a single camera built as part of the system. That way the user could select the camera body and lens type they desired depending on the conditions, but still have autonomous tracking capabilities. In other words, the user could place their own video camera onto the system, calibrate a few parameters, and now have an autonomous tracking system.

     

    The Beaglebone AI would be a perfect platform for this system with its coupling of computer vision capabilities and real-time programmable control. The Beaglebone AI would have the computational power to process video data and run a machine vision tracking algorithm, while also being able to generate the signals to control servos and brushless motors for the gimbaling system, all on a single board to reduce size, weight, and overall circuit complexity.

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  • urisala1996
    urisala1996 over 6 years ago

    The BeagleBoneAI would be of great help to implement a trash sorter I am designing to classify between glass, plastic bottes, cans, etc. Computer Vision tools are needed and this board would be a perfect fit.

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  • tushar19
    tushar19 over 6 years ago

    Vision....a vision to detect intruders and alerts, allow known faces to unlock door, detect leopard or tigers in civilized area to provide alert, to detect people in help in floods!

    I will work on problem statement which will improve livelihood. How we can use tech for society and get a better living.

    I would rather build a robot which will take care of peppeo - old age and handicap ones!

    Too many problems..but we have to work on solution!

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  • mukund22kar
    mukund22kar over 6 years ago

    Hello,

              I have been working on the field of robotics from 6 years now and always wanted to use the vision-based system for my robotics projects, using the ultrasonic sensor is a good idea to avoid a collision and distance measurement but it cannot recognize objects and board sign, which I want to use in my upcoming projects Beaglebone AI can be good option to make a vision-based systems to detect some objects to pick and place at a particular location and read the sign to move to the destination as required. This video shows the proper example of how this device can be used for vision application https://www.youtube.com/watch?v=v3_hNBJbqME  kindly check it.

     

    Things I would like to work on:-

    Pick and place robot with a sign reading(for navigation)

    Color sorting for Automation

    Vision-based line follower

    Robot Arm with Vision

     

     

    My major project will be robotics-based because I work in a robotics company. I will share more information on the project status and development on this site.

     

     

    Regards,

     

    Thank you,

    Mukund N Baviskar

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  • dubbie
    dubbie over 6 years ago in reply to sharath_n

    Looks like an interesting idea.

     

    Dubbie

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  • dubbie
    dubbie over 6 years ago in reply to clem57

    I do like a good swarm.

     

    Dubbie

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  • eagleanurag
    eagleanurag over 6 years ago

    I'm planning to make a AI drone capabale of doing lot of Thing which is not yet possible. Fully autonomous and able to recognize threats and detect the any Fire in Jungles.

    The brain will be beagle bone as it is sufficient to do all these thing along with playing role of an flight controller.

     

    The posts of the Project will be uploaded in my youtube account.

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  • crisdeodates
    crisdeodates over 6 years ago

    Beaglebone AI is a very interesting masterpiece item for on the edge AI applications. Getting hands on one of these would be valuable and awesome. I would like to integrate it into one of my ongoing projects. The project revolves around the development of a smart AGV (Autonomous Ground Vehicle) for emergency assistance. The AGV required autonomous navigation, obstacle/object detection, and reliable collision avoidance. The test results using Rpi are not in par with the required latency and operational speed. Beaglebone AI will be able to solve these bottlenecks.

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  • sharath_n
    sharath_n over 6 years ago

    Hi, tariq.ahmad, I am very excited to explore this cool new development Board. I did my B.E final year project which is based on real-time image processing. The project title is "Design and development of real-time image processing based air interface for easy accessibility for the disabled", in a simple words, it is a smart-wheelchair prototype where you can control many things just by pointing your fingers without touching anything, that is an air interface based wheelchair control device which can assist the user to perform simple day to day activities such as unlocking a door or switching on/off appliances and also control wheelchair movement.

     

     

    Working Algorithm in simple words:

    1) The camera continuously feeds the real-time image to a laptop.

    2) Then process the real-time image using the "Image processing algorithms" to remove noise and get the exact pixel coordinates for finger location using  Matlab and  Simulink on the laptop.

    3)Once the location of the fingertip is detected, based on the location command is sent to an Arduino via USB.

    4)Arduino in turns sends this information over Bluetooth to another Arduino which controls the home appliances.

     

    I have implemented this design using a web-camera, laptop (as processing unit - Matlab), Arduino, relays, Bluetooth modules and small Arduino-robot (which is used instead of an actual wheelchair).

     

    I have included some images from my project below:-

    imageimage

                                          image

                                           image

     

    Demo Video:

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    I saw about this new beagle bone AI board on element 14, which is, of course, a powerful development board no doubt in that, I am planning to enhance and implement some new features on this project using beagle bone AI board for an enhanced image processing and build a more efficient air-interface controlled IoT application.

     

     

    Hoping to get one of this board... :-)

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