Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

Online anomaly detection for data streams/ Real-time anomaly detection for time series data.

🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.

[ECCV 2024] PyTorch implementation of Rethinking Features-Fused-Pyramid-Neck for Object Detection

This project demonstrates real-time object detection using YOLOv8 and opencv with a webcam or Intel RealSense camera.

Modified RefineDet

It can detect face mask from images and real time videos.(VGG 16,OPENCV & KERAS)

real-time violence detection on video content

Tensorflow object detection with PPN for embedded commercial detection

This project is a hand-gesture-controlled Pong game using TensorFlow, OpenCV, and Pygame. It detects open hands via webcam in real time to control paddles, combining AI vision with interactive gameplay for a novel touchless experience.

A Flask web application game that detects real time Dynamic Sign Language using LSTM Keypoint Detection Model.

这个仓库主要通过使用图像API将AirSim与YOLOv5连接，实现实时检测。 This repository primarily implements real-time detection by connecting AirSim with YOLOv5 using the image API.

Real-time ASL interpreter using OpenCV and TensorFlow/Keras for hand gesture recognition. Features custom hand tracking, image preprocessing, and gesture classification to translate American Sign Language into text and speech output. Built with accessibility in mind.

An AI-powered Human Action Recognition system that classifies 15 common human activities using deep learning and computer vision. Built with TensorFlow, Keras, and OpenCV, the system supports real-time predictions from live camera feeds or uploaded images/videos through a user-friendly PyQt interface.

A state-of-the-art, open-source deepfake detection system built with PyTorch and EfficientNet-B0, featuring a user-friendly web interface for real-time image and video analysis.

In this repository you will find an efficient 'Real Time Driver Drowsiness Detection for an Intelligent Transportation System', that will work on various constraints like while wearing Eye Glasses, Mask etc.

Efficient Real-time Video Frame Classification for Bladder Lesions.

A real-time facial measurement tool that uses MediaPipe and linear regression to assist customers in selecting appropriately sized glasses when ordering online. It detects facial landmarks via webcam, estimates the distance from the camera, dynamically overlays glasses on the face, and displays measurements such as eye width and eye distance.

Automated attendance system using face recognition, built with Python, OpenCV, and Tkinter. Captures, trains, and tracks attendance seamlessly with real-time updates and CSV integration.