Next-Gen Facial Recognition for Criminal Detection: Leveraging Advanced Machine Learning Techniques

The process of identifying and spotting a criminal is slow and difficult creating a criminal detection framework that could help policemen to recognize the face of a criminal or a suspect is proposed. The framework is a client-server video-based face recognition surveillance in real-time. The framework applies face detection and tracking the video footage from the camera can be used to identify suspects, criminals, runaways, missing persons, etc. This project focuses on the development of the client side of the proposed framework, face detection, and tracking using Android mobile devices. For the face detection stage, we are using Python for artificial intelligence. The face-tracking stage is based on an intelligence algorithm. The proposed face detection. Thus proposed paper explains a way to help a criminal identification system using ML and deep neural networks.