Build a vision project using Xilinx or onsemi hardware and enter for a chance to win Hackster.io swag ($50 value) and a project feature on Hackster's social channels! Just build your project, send the link and the hashtag #FPGAI to events@hackster.io, and be entered to win. We'll be picking a new winner each month!
Check out what other community members have built below.
In the previous 2 part tutorial we built a model that plays the card game Dobble. Now we'll be deploying it on the Ultra96-V2.
Use an Ultra96V2 Board, a Yolov3 neuronal network running on a Xilinx DPU to calculate the perfect pizza cutting angle based on the toppings
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 1.3 flow for Avnet Vitis 2020.2 platforms.
Examining the new OnSemi Dual MIPI Camera Mezzanine for the Ultra96.
This guide provides detailed instructions on implementing face detection and face tracking in Python on the Ultra96-V2 platform.
Not all imaging systems need to be expensive. Solutions can be created using cost optimized FPGA and CMOS image sensors directly.
This guide provides detailed instructions for implementing face detection on four (4) cameras using the UltraZed-EV and Multi-Camera FMC.
FPGA-based system that monitors facemask use through artificial intelligence, includes a thermometer and facemask dispenser.
Use a ZYNQ UltraScale+ to build a distributed camera vision system with image processing capabilities.
View a live webcam feed via a webpage implemented on the Ultra96v2.
The project describes how to implement a real-time head pose estimation on Ultra96-V2 using Vitis-AI.
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