Automatic Face Recognition and Detection For Criminal Identification Using Machine Learning

Information Technology

The number of offenders and the rate of crime are both abnormally rising, which raises serious concerns regarding security issues. As protecting property and lives is the police's major priority, crime prevention and criminal identification are the most pressing challenges facing the officers. Nevertheless, there are not enough officers available to fight crime. Since the development of security technology, many public and private spaces now have cameras, particularly CCTV, placed for monitoring purposes. Suspects at the scene can be recognised using the CCTV video. In this project, a machine learning algorithm is used to create a face detection and recognition system for criminal identification. This technology will be able to distinguish offenders' faces in real-time and automatically detect their faces. The one shot learning technique used by this system would likewise just need a single photograph of the culprit to identify him. A message is sent to the police staff with all the facts and the position where he was being watched by the camera. The purpose is to identify the criminal face, get the information held in the database for the identified criminal, and identify the criminal.

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