Showing 10–18 of 18 results
Build a real-time AI fitness tracker using Python, MediaPipe, OpenCV, and Tkinter. Detect and count exercises such as push-ups, squats, chest flys, and dumbbell lifts using human pose estimation and movement analysis. Includes source code suitable for learning, customization, and developing fitness-tech applications.
Develop a computer-vision-based surveillance system for detecting potential shoplifting and suspicious activities in real time. The project analyzes video footage to identify unusual movements and behavioral patterns, providing a practical foundation for retail security, loss prevention, and intelligent CCTV monitoring applications.
Use a physical stick as a virtual drum controller with computer vision. Track the stick through a webcam and convert its movements into real-time drum sounds using Python, OpenCV, motion detection, and audio processing. A fun project for interactive music and computer vision applications.
A computer vision project for detecting and tracking objects in video while generating movement trajectories and activity heatmaps. Built for real-time video analysis and adaptable to applications such as traffic monitoring, retail analytics, surveillance, industrial monitoring, and pedestrian tracking.
What’s Included:
AirMouse Pro is an AI-powered gesture-controlled virtual mouse that lets users control their computer using real-time hand gestures through a webcam.
Features include cursor movement, left/right click, double-click, drag & drop, scrolling, screenshots, volume and brightness control, gesture calibration, and live performance monitoring.
VisionLab – Image Processing & Computer Vision Studio is a desktop-based virtual laboratory for learning and experimenting with image processing and computer vision algorithms. It provides interactive tools for filtering, enhancement, histogram analysis, edge detection, segmentation, morphology, contour analysis, and other vision techniques in a professional, easy-to-use environment.
A practical Python desktop application for managing visitor records digitally. Register visitors, store visit details, search and update records, and maintain organized information through a simple user-friendly interface. Ideal for offices, institutions, reception desks, and academic projects.
A complete Python Tkinter + OpenCV desktop project for real-time webcam motion detection using MOG2/KNN background subtraction, foreground-mask processing, contour detection, motion-area filtering, and bounding boxes. Lightweight, offline, customizable, and ideal for computer-vision projects, mini projects, and academic demonstrations.