IEEE

Demo Abstract: A Low-Power Real-Time Hardware Accelerator for Edge Detection Using Stochastic Computing

Abstract: We present a low-power, stochastic computing-based method for real-time video edge detection. Traditional Sobel-based pipelines are often resource-intensive and consume substantial power. In ...
IEEE

Anomaly Detection in EVCS using Federated Learning with Auto-Optimized Edge Models

Abstract: This paper presents FedNAS, a novel federated learning (FL) framework designed for robust and personalized models to detect anomalies at distributed electric vehicle charging stations (EVCSs ...
GitHub

Canny Edge Detection on RISC-V with Vector Extension

Implementation of the Canny Edge Detection algorithm targeting RISC-V (rv64gcv), running on QEMU user-mode emulation, with optimization using RVV intrinsics.
GitHub

Lane Lines Detection Using Python and OpenCV

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.