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Developed a real-time social distancing system with YOLOv3 for human detection, OpenCV for video processing, and Perspective transformation for bird's-eye view. Used Euclidean distance for accurate distance measurement, categorizing individuals into high, low, and no-risk groups for monitoring in public areas and workplaces.
GestureX is an OpenCV-based hand motion sensing system for intuitive, efficient user control.This project aims to investigate the potential of creating a vision-based gesture recognition system using OpenCV to accurately and efficiently recognize hand gestures for computer control.
Upon sleep detection, the code will trigger notifications that include a combination of gentle vibrations on the watch and an escalating audio alert on the phone. This approach provides a multi-sensory wake-up cue to increase the user's chance of being roused from sleep.
GestureX is an OpenCV-based hand motion sensing system for intuitive, efficient user control.This project aims to investigate the potential of creating a vision-based gesture recognition system using OpenCV to accurately and efficiently recognize hand gestures for computer control.
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
This repository contains a collection of projects and examples demonstrating various image processing techniques using OpenCV. Explore fundamental and advanced concepts including image filtering, edge detection, feature extraction, and object detection. Each example is designed to provide clear and practical insights into the application of OpenCV