Criminal Identification Using Machine Learning And Face Recognition Techniques

Abstract

The system utilizes CCTV cameras to capture images in public places, allowing for the identification of
criminals present in these areas for easier apprehension. It extracts features from the captured images by
encoding the faces. The captured image encoding is then compared with encoding values stored in a database.
If there is a match between the captured and database image encodings, the criminal's image, name, and a
message indicating that the criminal has been identified will be displayed on the screen. Additionally, the image
of the identified person will be saved in a designated folder on the desktop, enabling law enforcement to easily
distinguish the criminal from other individuals in the public.