Frame Capture: The JavaScript captures frames from the video stream, encodes them as Base64 strings, and sends them back to the Python environment. Python Processing: The Python backend receives the ...

This project is a Face Detection Web Application built using Python, OpenCV, and Streamlit. It allows users to upload an image or use their webcam in real-time to detect faces.

This research paper explores the development and implementation of a robust system for human face detection and emotion recognition using OpenCV, an open-source computer vision library, integrated ...

This paper presents an advanced approach to face and liveness detection in real-time, leveraging multi-model learning techniques to enhance security against spoofing attacks. With the rise of ...