Object Pose Estimation Using ArUco Markers (OpenCV) — A beginner-friendly robotics computer vision pipeline for detecting ArUco markers, estimating 3D pose (x, y, z, roll, pitch, yaw) using solvePnP, and visualizing results with 3D axes. Includes camera calibration, live webcam detection, and MP4 video recording. Ideal for robotics, computer vision

Captures images of detected people by a webcam

FireSense AI is a comprehensive fire and smoke detection platform built using YOLOv8, OpenCV, Flask, and Computer Vision. The system supports image analysis, video surveillance, live webcam monitoring, screenshot analytics, interactive dashboards, and real-time detection reporting.

AI-powered plastic object detection system using YOLO and Streamlit that identifies plastic waste from images and real-time webcam feeds to support smart recycling and environmental sustainability.

This script use your webcam to detect movement, it will send and email with a pic of the object detected

An AI powered attendance system that uses OpenCV for real-time student detection and auto records attendance with a live dashboard.

🧭 Learn to estimate the 3D pose of objects using ArUco markers and OpenCV, enabling robots to interact effectively in their environment.

🚦 TrafficSign AI — A production-ready AI-powered Traffic Sign Recognition System using TensorFlow & MobileNetV2 with real-time webcam detection, video analysis, cyberpunk dark-mode UI, multilingual voice alerts, analytics dashboard, and Docker deployment support.

OpenCV-based face recognition and identity verification system using LBPH and real-time webcam input.

Real-Time Multi-Object Detection System powered by YOLOv8 - Advanced computer vision solution for identifying and tracking 80+ object classes across images, video streams, and live camera feeds with high accuracy and performance optimization.

Real-time Face, Eye, and Smile Detection system built with Python and OpenCV using Haar Cascade Classifiers. Detects facial features from live webcam feeds with high-speed processing, bounding box visualization, and grayscale optimization. Perfect for computer vision, AI, and image processing learning projects.

🔥 AI-based forest fire detection system using CNN and real-time webcam monitoring with email alerts