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Total prize pool of $70,000
All projects (165)
Test run Aupera's face recognition with Kria KV260.
We have a plan to developed a smart vision based solution for detecting the pickpocketing automatically from surveillance video camera.
Run deep learning networks designed for human pose estimation on the Kria KV260 including its camera
With PYNQ -DPU overlay on KV260, we made 3D object detection on LiDAR point clouds more efficient than ever!
Our project is the deployment of a prevailing super-resolution algorithm on vck5000.
Utilize KV260's hardware acceleration to perform reliable human position estimation
A computer system will provide a set of tools to isolate, analyze, and track the seed features from digital images
Use AI to detect video effects that are irritating to photosensitive viewers, so that the frames can be modified in real-time for display.
Agricultural monitoring system with AI for the automation of processes, capacity for prevention and detection of pests and diseases.
Camera utilize AI to determine if driver is distracted or fatigue.
A few IPs exposing the connections in the XDC file to the Block Design in Vivado
Use Machine Learning & high powered Deep-learning Processing Unit (DPU) to detect pedestrians and alert them that a bicycle is approaching.
Comparison of different design frameworks for deep learning inference development.
Farmers faces challenges in animal detection and counting especially for fast moving & smaller sized, and large quantity.
Deploy an AI fire-spotting intelligence accelerated on Xilinx Kria. To augment the firefighting crew to rapidly respond to fire incidents
Based on the VCK5000 acceleration YOLOX model, it is applied to the recognition of blurred images by the camera.
Real-time camera helmet detection using YOLOv3-tiny on Kria KV260.
Detect Face mask and body temperature with thermal imaging algorithms,
Monitoring and control of edge legacy systems using AI based computer vision
We show that FPGAs are an excellent target for mining CryptoNight Haven, an ASIC-resistant cryptocurrency Proof of Work algorithm.
Using the highly versatile Xilinx Kria SoM to solve real-world problem through machine vision.
Accelerating Deepfake C-L-I (Classification-Localization-Inference) using VCK5000 AI Inference Card.
Evaluate commercial mining software with AMD-Xilinx Varium C1100 Blockchain Accelerator Card on ETH mining.
