Kurnool police crack missing cases with AI-powered facial recognition network

Kurnool district police in Andhra Pradesh have deployed an AI-powered Facial Recognition System (FRS) to solve missing person cases and enhance public safety. Superintendent of Police Vikrant Patil announced the system, integrated with the CCTNS AP 360 platform, has achieved rapid results by scanning and comparing facial images against police databases. The technology is part of the Andhra Pradesh Fiber Net Services initiative, which includes 15,000 analytics-based surveillance cameras across the state, including 722 smart cameras in Kurnool. The system combines FRS with Automatic Number Plate Recognition (ANPR) and intelligent analytics tools, enabling real-time tracking of suspicious movements. All cameras are connected to the Real Time Governance Society (RTGS) control room in Amaravati, with data accessible via the CCTNS AP 360 app at police stations and district control rooms. The AI network has already resolved multiple missing person cases, including tracing individuals from Kurnool Taluk, Peddakadubur (Tirupati), and Nandavaram (reunited in Vijayawada). Police report that FRS scans images instantly against records, accelerating detection and response times. Beyond missing persons, the system monitors high-traffic areas like bus stands, railway stations, and hospitals to flag habitual offenders, absconding accused, and suspicious individuals. Alerts are sent directly to the Kurnool Police Command Control Room for immediate action. Superintendent Patil urged citizens to report missing persons or stolen vehicles promptly, assuring priority police intervention. The surveillance grid also supports broader crime prevention by tracking movements in real time. The technology represents a major advancement in policing efficiency, leveraging AI to enhance public safety across Kurnool district.