What is an Eye on Intelligence?
More developers today are designing embedded vision systems into their projects. As such, embedded vision is having a transformative effect on skill sets, technical innovation, and product development. AMD adaptive SoCs and FPGAs are ideal devices for designing embedded visual intelligence. This competition was an opportunity to develop embedded vision skills by utilizing a development kit based on the AMD ZynqTm 7000 SoC devices.
Participants attempted to design and build embedded vision projects. Fifteen official applicants will receive free-of-charge a Digilent Arty Z7 (P/N 410-346-20), a development platform designed around the AMD ZynqTm 7000 SoC. For a chance to win one of the great prizes in this challenge, you must blog about your design process, as well as publish the final-result of your Embedded Vision Project on the competition site. The Sponsor’s kit must be used in your final project.
The element14 Community would like to thank our sponsor, AMD, for sponsoring this program, and, Digilent, for providing the kits for this challenge.
Grand Prize: javagoza
FruitVisionScale
Member since 2019
Occupation: Software developer in payment, ticketing and access control solutions
Project: My project aims to develop a real-time embedded vision system capable of accurately classifying and weighing various fruits. Using computer vision and machine learning, this system seeks to streamline the grocery store checkout process, reducing wait times and errors. Check Out the Experiments
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Runner Up: vmate
ADAS and vehicle monitoring system
Member since 2021
Occupation: Software Engineer, Electronics hobbyist
Project: My goal is to build an ADAS and monitoring system for cars, serving as an advanced security and surveillance system when the car is parked, and a driver assistance system when the car is driven. The core of the system will be one or more cameras mounted inside the vehicle, in addition to various sensors, like a GPS unit. Check out the Experiments
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3rd Prize: taifur
Eye for Blind
Member since 2015
Occupation: Ph.D. Researcher & working as an Assistant Professor at the University of Asia Pacific
Project: My goal is to solve the problem of the blind by developing an FPGA based real-time embedded vision system capable of accurately identifying the objects surrounding the visually impaired and explaining the environment to him using text-to-speech. A blind person can hear the converted speech using his earphone. Check out the Experiments
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4th Prize: yesha98
CNN HW Accelerator for Handwriting Recognition
Member since 2020
Occupation: Design Engineer with interests in Embedded Systems, FPGA Design, and IoT
Project: This project showcases an innovative and efficient handwritten digit recognition system built for the Element14 Eye on Intelligence Challenge. The system is based on the Digilent Arty Z7, which integrates the AMD Zynq-7000 SoC to combine software program- ability with hardware acceleration seamlessly. Check out the Experiments
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I'd also like to thank all the element14 members who successfully finished this challenge:
- cbohra00627 - Sign Language Interpreter
- flyingbean - Z7_Color_AID
- fyaocn - Person Detection with yolo-8
- pandoramc - FPGA Augmented Microscopy
- rsc - a Birds-Eye view
- venkat01 - Illumination-Aware Monocular Visual SLAM for Indoor Navigation
- vlasov01 - Smarter Runner - Biomechanics Assistant
Last Word: A Big Thank You to Our Judges!
I'd like to thank Top Members Don Bertke and Shabaz for judging An Eye on Intelligence Challenge! Their input on the projects was invaluable to our final decisions.
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