Crime Prediction and Classification using Deep Learning

Crime Prediction and Classification using Deep Learning

Roopalakshmi S 1 , Kavitha Bai A S2 , Shilpa Reddy K 3

1,2,3 Assistant Professor in CSE, Vemana Institute of Technology, Bengaluru, Karnataka, India

Abstract

Nowadays, the prediction of crime occurrence is seeking attention in field of research with deep learning and data analytics. A systematic technique to identifying and evaluating criminal patterns and trends is analysis of crime. In many ways, it gravely cost our community. We frequently travel to different locations for daily needs, and we frequently deal with multiple safety issues like hijacking, kidnapping, and harassment. In general, we observe that the first thing we do when we need to travel somewhere is search for Google Maps. Google Maps provides one, two, or more routes that can be used to reach the desired location, but we consistently choose the shortest one because we don't fully comprehend the path scenario. The research paper employed supervised machine learning, which relies on previously labelled data, even though there may not always be labelled data in real-world circumstances. The primary difficulties encountered by the researchers while conducting some of the investigations have also been covered. We believe that this research paves the door for additional study to aid governments and nations in combating crime and reducing it for improved safety and security.

Keywords: Deep Learning, Crime Prediction, Deep belief networks.