A Systematic Review on Tanpin Kandri based Crime Prediction

Abstract

Predictive policing refers to the potential preventive measure to fight crimes in the modern age. Crimes are social issues that have a negative effect on society. The number of cases filed under the Indian Penal Code (IPC) in 2020 increased by over 430 percent compared to the same year-ago period. Data analytics is the process of inspecting, transforming, and modelling unstructured data into useful information. Predictive policing and crime analytics with Artificial intelligence increase attention among a multifarious scientific community. Crime pattern analysis is the computational approach to examining aspects of volume crime for the purposes of prevention where it either targets one crime or a series of discrete crimes for detection. Currently, there are not many sufficing analysis methods for the Law and order agencies. By using the Tanpin Kanri model, a Japanese business strategy, this idea makes decision points on what crime and at what rate. Crime analysis functions are generally focused on seven key areas: crime pattern detection, target profiles, forecast crime rates, resource allocation, and criminal investigations, according to a study by the International Association of Chiefs of Police. Generally, it is implemented for the most recurring crimes. This idea helps in the prevention of crimes using crime forecasting and gives a unique perspective on the areas one may not be aware of. Thus crime prediction is a valuable strategy to identify and profile those areas which are at risk, and those can be prevented.