Tracking A Student Using Face Recognition

The integration of advanced security technologies, particularly the widespread deployment of mobile cameras equipped with real-time face recognition capabilities, heralds a new era of surveillance capabilities. This paper presents a comprehensive overview of a cutting-edge surveillance system designed to enhance security measures in public and private spaces. Unlike traditional CCTV setups, this system leverages strategically positioned mobile cameras equipped with sophisticated face recognition algorithms such as YOLO, Haar featurebased cascade classifiers, OpenCV, and LBPH (Local Binary Pattern Histograms).Upon detection of a person of interest, the system swiftly matches the face against a pre-existing database, providing instantaneous identification. Moreover, the system concurrently displays the associated location information in real-time, facilitating swift and targeted response measures.Key features of this system include its ability to send immediate notifications containing the individual's name and precise location details to specified recipients, typically via text messages to predetermined numbers. This functionality ensures that relevant authorities are promptly informed, enabling them to address potential concerns or threats efficiently.By amalgamating cutting-edge face recognition technology with mobile surveillance cameras, this system not only strengthens security efforts but also streamlines response mechanisms.