Criminal Identification by Face Recognization System

The Criminal Identification by Face Recognition system is an advanced surveillance solution designed to enhance security by identifying individuals using facial recognition technology. This system automates the process of analyzing images and video feeds, comparing detected faces against a pre-trained database of known individuals. By integrating computer vision and deep learning, the system ensures accurate and real-time identification, significantly improving response times in critical security environments. Traditional surveillance methods rely heavily on manual monitoring, making them prone to human error and inefficiencies. This system overcomes such limitations by employing automated face detection and recognition techniques. It features modules for criminal database management, image and video surveillance, recognition and matching, and real-time alert generation. The system utilizes Haar Cascade for face detection and K-Nearest Neighbors (KNN) for matching, ensuring high accuracy. Additionally, all criminal records and datasets are securely stored in an SQLite database, allowing for efficient management and retrieval.