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Seeking Feedback on Kit and Prizes for Design Challenge

rscasny

imageHi All. I want to get some feedback on a Design Challenge I'm running.

It's the Eye on Intelligence Design Challenge.

It's an embedded vision challenge, using the Digilent Arty Z7 Dev board.

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I'm offering test equipment as prizes (digital oscilloscope, handheld oscilloscope, dc power supplies, etc.) Click on the link above to see the prizes.

I'm interested in getting feedback on the kits and prizes:



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  • I think the best and most straightforward option for working with images and video streams on the Arty Z7 is to use the HDMI source and HDMI sink on the board.
    The wall power adapter (12V 3A power supply) is a must if you are going to use the HDMI source port. The board itself is of great interest to me, I'm not that interested in the prizes as I've won similar items in previous challenges, but they are really great for someone who is into electronics.

    I haven't submitted an application yet because I'm still waiting to find out if I'll have a job tomorrow or if I'll be laid off next month.

  • in reply to javagoza

    I'm the only person left in my team after the recent layoffs. While I'm relieved to keep my job, it means a lot more work. To escape the stress, I will be excited to start the Eye on Intelligence Challenge.

    I’ve started exploring the Arty Z7 board. While creating a full-fledged image classification model with hardware acceleration on the programmable logic seems daunting, I believe it’s possible to combine image classification on the processing system with FPGA-accelerated image processing tasks, like faster image capture, filtering, or overlaying information on images.

  • in reply to javagoza

    may i suggest you do stuff with fft and edge finding in hardware? Eyes i would love to see something like that with the FPGA in the kit Slight smile also, great news on keeping your job! congrats!

  • in reply to Anthocyanina

    Thanks for the congratulations! I didn't remember that technique of using FFT to find edges. It's spectacular and makes a lot of sense. I just did a test with OpenCV and numpy that can be easily transferred to the Arty Z7

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  • in reply to javagoza

    I submitted my application for the challenge! I came up with an idea for a smart scale that weighs bulk fruit in the supermarket. It classifies fruits using embedded vision and create barcodes right on a touch screen (and/or send them to the checkout system by an UART) so cashiers don't have to look up each fruit. It could even work for self-checkout! No more fruit-searching for cashiers!

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  • in reply to javagoza

    I submitted my application for the challenge! I came up with an idea for a smart scale that weighs bulk fruit in the supermarket. It classifies fruits using embedded vision and create barcodes right on a touch screen (and/or send them to the checkout system by an UART) so cashiers don't have to look up each fruit. It could even work for self-checkout! No more fruit-searching for cashiers!

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