The article explains how India is integrating artificial intelligence into its policing systems, particularly through the Crime and Criminal Tracking Network & Systems (CCTNS 2.0). This nationwide platform connects around 17,000 police stations, enabling centralized data sharing and real-time access to crime records. With AI integration, the system is expected to significantly enhance how crimes are tracked, analyzed, and solved across jurisdictions.
A key development is the use of predictive policing and criminal profiling. AI can analyze historical crime data, social factors, and geographic patterns to predict potential crime hotspots and identify repeat offenders. Techniques like Risk Terrain Modeling help authorities anticipate where crimes may occur, allowing better deployment of police resources and more proactive law enforcement.
The article also highlights the role of advanced surveillance technologies. Tools such as facial recognition, automatic number plate recognition, and AI-powered CCTV systems are improving monitoring capabilities. These technologies help law enforcement identify suspects faster, track movements, and enhance traffic and public safety management, making investigations more efficient.
Additionally, AI is being used to tackle cybercrime and digital fraud. The Indian Cyber Crime Coordination Centre, along with institutions like IIT Bombay and the Reserve Bank Innovation Hub, is developing AI-based systems to detect and prevent online threats in real time. Overall, the article shows that AI is transforming policing in India from reactive investigation to data-driven, proactive crime prevention, though it also raises broader questions about privacy, surveillance, and ethical use.
