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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 :  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.

 

 

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:

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!

  • in reply to mayermakes

      wrote:

     

    interesting concept! did you know you can use the beaglebones PRUs to do the realtime control like arducopter did.

    there is apocketbeagle project on bealgeboard.org that does it if you combine that wit hthe vision application you get an all in one solution!

    beagleboard.org 

    Correct spelling.

  • in reply to cha_ran

    interesting concept! did you know you can use the beaglebones PRUs to do the realtime control like arducopter did.

    there is a pocketbeagle project on beagleboard.org that does it if you combine that with the vision application you get an all in one solution!

    edit : spelling thanks

  • 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.

  • The BeagleBone AI board fits perfecly into a project I've been working on for a while - smart parking assistant. The goal of this project is to create a device which helps drivers to park their cars in a safe and convenient way. There are several ways to achieve this goal - the easiest and the cheapest ones are the ultrasonic sensors. More complicated and more expensive are parking cameras. Both solutions have their advantages - but they don't fulfill all my expectations towards such systems. The main disadvantage is that they are not able to detect incoming pedestrians and cyclist who are not in their detection area - and such persons can appear from nowhere in just a second. Another weak point is unability to detect curbs - especially those lower ones - and small obstacles that lay on a path of a car.

    The solution here seems to be AI - especially taking into account the latest achievments in this area. The device I'm trying to build will have the following configuration:

    - two webcameras located behind the rear window of a car (it allows measuring range to obstacles) - they should have wide detection area - to find incoming threats like pedestrians mentioned above

    - main computer responsible for analysing images taken by both cameras (in this role - BeagleBone AI)

    - driver's smartphone which receives data from the main computer via WiFi

    - accelerometer - to detect direction of a car - as I'm not going to change anything in car's instalation - inlcuding connecting devices to rear lights

    - IR lamp + light sensor - to illuminate an area in the night

    Such configuration should allow the device to:

    - detect pedestrians and cyclists closing to a car - and give an information about a potential collision (based on a distance, speed, direction and type of an incoming object)

    - detect and classify small obstacles in the back of the car and warn driver in case when they can be a potentail threat (bottles, sharp rocks etc.)

    - measure whether there is enough place to park a car there

    - check, whether a car is parked in line with any markings on a road

    To implement all those features I plan to use TF library (classification and detection of objects) together with OpenCV (measuring range, detection of edges). Additionaly - but rather as a second step - I was thinking about adding handling a voice/sound messages - to inform/warn a user not only with a message/image displayed on a screen of a smartphone - but also through speakers connected to the main computer.

  • in reply to dubbie

    Hi Dubbie, I have updated my original comment by adding the video. You can find it under the title "Demo Video".

  • in reply to dubbie

    Click over content and then video. I found it in the first few entries...

  • in reply to dubbie

    Thank You Dubbie. Yeah, its quite interesting project. Check out,  I have added the video of the working prototype .

  • 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