criminal identification and identification using AI and IOT

COMPUTER TECHNOLOGY

A person is uniquely identifiable by their face, which is an essential component of the human body structure. As a result, it can be utilized to track down a criminal's identify. With the development of technology, several public locations now have cameras that can record illegal activity. Using the previously captured faces and criminal’s images that are available in the crime database, the criminal face recognition system can be implemented. The implementation of computer vision for the automation of the criminal detection can substantially improve the crime situation of the city. An automatic criminal identification system that enhances and upgrades the criminal identification as more effective and efficient approach through the use of CNN. The CNN model is trained on the criminal dataset and then deployed for achieving criminal detection. The Decision Tree approach is also deployed which considerably enhances the precision of the detection. Once the criminal is detected the system generates an alert to notify the law enforcement that can significantly reduce the crime levels in the locality. The proposed approach has been quantified through comparison with the conventional approaches to yield highly satisfactory outcomes.

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