AI-based criminal identification system: A literature review
Abstract
We as a whole realize that our Face is a special and pivotal piece of the human body structure that distinguishes an individual. In this way, we can utilize it to follow the character of a criminal individual. With the headway in innovation, we are set CCTV at numerous public spots to catch the lawbreaker's wrongdoing. Utilizing the already
Caught countenances and criminal's pictures that are accessible in the police headquarters, the lawbreaker face acknowledgment arrangement of can be carried out. In this paper, we propose a programmed criminal distinguishing proof framework for Police Department to improve and update the crook recognizing into a more viable and proficient approach. Utilizing innovation, this thought will add in addition to point in the current framework while bringing hoodlums spotting to an unheard of level via computerizing errands. Innovation working behind it will be face acknowledgment, from the recording caught by the CCTV cameras; our framework will distinguish the face and perceive the lawbreaker who is arriving at that public spot. The caught pictures of the individual arriving at that public spot get contrasted and the criminal information we have in our data set. On the off chance that any individual's face from public spot coordinates, the framework will show their picture on the framework screen and will give the message with their name that the criminal is found and present in this open spot. This framework matching over 70%-80% of the caught Pictures with data set pictures.
How to Cite This Article
Dr. Piyush Choudhary, Meet Singh, Sagar Sankhere, Sneha Vishwakarma, Swapnil Sanap (2022). AI-based criminal identification system: A literature review . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 3(2), 114-116.