A Survey on Police Preventive Action Tracking System Using AI

Authors

  • Dr. A. B. Gavali  Department of Computer Engineering, S. B. Patil College of Engineering, Maharashtra, India
  • Phule Pravinkumar  Department of Computer Engineering, S. B. Patil College of Engineering, Maharashtra, India
  • Nimgire Prathmesh  Department of Computer Engineering, S. B. Patil College of Engineering, Maharashtra, India
  • Parakhe Ganesh  Department of Computer Engineering, S. B. Patil College of Engineering, Maharashtra, India
  • Mane Shubham  Department of Computer Engineering, S. B. Patil College of Engineering, Maharashtra, India

Keywords:

Artificial intelligence (AI), Data collection, Data analysis, Decision support, Action execution, Predictive policing, Public safety and Security, Privacy and Human rights.

Abstract

Police preventive action tracking system (PPATS) is a proposed framework that aims to enhance the efficiency and effectiveness of police operations by using artificial intelligence (AI) techniques. PPATS consists of four main components: data collection, data analysis, decision support, and action execution. Decision support involves the use of predictive policing and data analytics tools to generate recommendations and alerts for police officers, based on the data analysis results. Action execution involves the use of automated systems like Ai to assist police officers in performing preventive actions, such as surveillance, patrol, intervention, and arrest. PPATS aims to improve public safety and security by enabling police to prevent crime before it happens, while respecting privacy and human rights. PPATS also faces several challenges and limitations, such as data quality, bias, transparency, accountability, and ethical issues.

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Published

2023-10-30

Issue

Section

Research Articles

How to Cite

[1]
Dr. A. B. Gavali, Phule Pravinkumar, Nimgire Prathmesh, Parakhe Ganesh, Mane Shubham, " A Survey on Police Preventive Action Tracking System Using AI " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 10, pp.185-190, September-October-2023.