Employing Machine Learning for Criminal Face Detection System
摘要
The crime rate is increasing daily, and finding criminals in such a large population will be challenging. It is known that the face is a unique and determining part of the human body that identifies a person; hence, it can be used to track down the identity of a criminal. A solution to this problem would be to create a system that controls CCTV cameras and monitors them 24/7 to identify criminals and notify the nearest police station. In times like now, security cameras can be found almost everywhere, and criminal face recognition systems can be implemented using the previously captured faces from police stations and criminal images. This article proposes a system that can enhance criminal distinction and provide a more effective and efficient outlook for the police department. This proposed system consists of a database where the appearance of the criminal will be uploaded along with the criminal description he has made, and then the database will provide the information to the system. Once the image is in the database, the system will detect the criminal by comparing the captured appearance, which can be done with facial recognition software. The crime data in our database along with the people who come to this public place, if the face of a person from the public place matches the present data in our database, will be the most recent to notify the police department. This leads to improved social security.