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Total prize pool of $70,000
All projects (165)
RGB with Depth sensor cameras can be used to enhance overlapped people detection wrt other AI methods using only video information
An energy efficient object detector deployed with trail cameras to summarize video content into for future satellite transmission.
Accelerating Blockchain Transfer System on Flux Using the Xillinx Varium C1100 FPGA.
Accelerator for P2P smart meter contracts
Machine Alarm Detection System is the detection of the machine alarm in the factory using Kria KV260 and Vitis-AI.
Leveraging the Vision AI performance of KV260
A configurable hardware accelerator that supports CNN object detection based on Xilinx ZYNQ
This project implemented a CNN-based stereo application on KV26 SOM boards.
An RTL kernel to accelerate the Hyperledger fabric. FPGA parallelized implementation of the blockchain's consensus algorithm RAFT.
Our team used hls to complete the accelerated IP core design and quickly build a neural network accelerator.
Accelerated Quantum-Inspired Algorithm for High Frequency Trading based on Xilinx AAT Framework
This project is to train its own dataset using yolov4-tiny and deploy it to run on kv260
PairHMM HLS implementation on Xilinx FPGAs,Dynamically configurable number of logic calculation units, accuracy, and input data width.
FPGA accelerated detection of bunches of grapes using object detectors in vineyards.
This project explores a low-cost solution for detecting intramuscular injection site to empower the next-gen autonomous vaccine injection.
A GNU Radio Application that performing RF Modulation Recognition in real time by using AI inference, running on DPU in the FPGA.
a garbage classification program designed with Ultra-96
From orb-slam2,the algorithm to compute the brief descriptor which can help to identify the image.
A Vision AI based system that give real time information of availability of parking space for charging of electrical car at charging station
The system can complete at most eight polyp segmentation tasks in real-time, which is indeed helpful for joining medical applications.
YOLO V2-VOC-Tiny was run on the KV260 development board to identify and localize COVID-19 infections and lung lesions on radiographs.
The DPU and customized accelerator on KV260 made the AI-driven search-by-image engine much more efficient than ever!
Live detection of personal protective equipment using deep-learning on the Kria KV260 for safety. Application on construction sites.
This project accelerates a Hybrid Blockchain Database System with an AMD-Xilinx Varium C1100 Blockchain Accelerator Card
