FaceDetectionApp is a JavaFX-based desktop application that performs real-time face detection using OpenCV’s Haar Cascade classifier.

Projeto para detecção de objetos usando a biblioteca ultralytics e o modelo YOLOv8. Ideal para identificação de objetos em tempo real com alta precisão.

This project implements a real-time driver drowsiness detection system using a Raspberry Pi equipped with an OV camera module. The system employs computer vision (OpenCV) and machine learning techniques (NumPy, pre-trained models) to monitor the driver's facial landmarks—particularly eye and head movement.

Real-time lane detection system using OpenCV and Python for autonomous vehicle applications

This project aims to design and develop a computer vision-based system that detects whether individuals are wearing face masks in images. Images Face Mask Detection System Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

“NHIT Road Distress Detection ” states using AI&ML for detection of highway infrastructure, mainly developed pothole distress detection web and mobile app. Developed the app using SAM (segment-anything) ML model that detect the pothole overlaying a mask to view the dimensions of distress detected, stores Lat-long locations are detected

This is a React-based web app that uses HandTrack.js for real-time hand gesture detection. The app changes the background color based on detected gestures: an open palm turns the background blue, while a fist turns it red. It's a fun, interactive way to explore hand gestures and color changes in web development.

This project aims to design and develop an efficient malware detection system using machine learning and deep learning techniques. Malware Detection System Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

Gesture-Based PC Controller lets you control your computer with hand gestures using your webcam. It uses computer vision to enable hands-free actions like moving the mouse, scrolling, and adjusting volume or brightness.

Real-time detection of personal protective equipment (PPE) using computer vision and deep learning