Computer Vision Projects

Explore computer vision projects for engineering students, including object detection, image recognition, face recognition, video analysis, and real-time computer vision applications using Python and OpenCV.

Person detection using OpenCV Python with real-time people counting interface

Person Detection Using OpenCV Python | Computer Vision Project

Introduction Person detection using OpenCV Python is a computer vision project that demonstrates how a computer can identify people in video frames using image processing and object detection techniques. This project is useful for students who want to explore Python programming, video processing, computer vision, and people-counting applications. If you are a B.Tech, B.E., BCA,

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Hand gesture recognition using OpenCV Python

Hand Gesture Recognition Using OpenCV and Python

Introduction Hand gesture recognition using OpenCV and Python is a popular computer vision project that enables computers to recognize and interpret human hand movements in real time. By using a webcam, image processing techniques, and hand-tracking libraries, the system can detect hand landmarks and identify different gestures. This project combines Python programming, OpenCV, and MediaPipe

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Crowd Counting Using YOLO with Python for People Detection Copy ALT Text

Crowd Counting Using YOLO | Python Computer Vision Project

Introduction Crowd counting using YOLO is a computer vision project that demonstrates how object detection can be used to identify people in images or video footage and estimate the number of detected individuals. Using Python and a YOLO-based model, the project explores people detection, bounding boxes, video processing, and crowd analysis. If you are a

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