SRINAGAR: In a significant leap towards enhancing security measures, the Jammu and Kashmir Police have introduced an Artificial Intelligence (AI)-driven facial recognition system aimed at swiftly detecting and apprehending militants, overground workers (OGWs), and other criminals. The cutting-edge technology, developed by a Chennai-based firm, has been successfully implemented in the Kishtwar district.

High-focus CCTV cameras, integrated with AI-powered facial recognition devices, have been strategically installed at key entry and exit points, as well as other crucial locations in Kishtwar.

According to Khalil Poswal, Senior Superintendent of Police (SSP) Kishtwar, the AI-driven system can store up to 5000 photographs and identify multiple faces, even if individuals are wearing masks. The technology utilises deep learning to analyse and compare facial features in real-time against a vast database of known individuals.
Poswal highlighted the system’s ability to accurately match faces, providing crucial information for identifying and tracking suspects, including active terrorists in the region. The system’s deployment is expected to significantly aid law enforcement in the swift identification of individuals with anti-national affiliations.

The AI-powered facial recognition system has been strategically deployed at key entry points, checkpoints, and other sensitive areas in Kishtwar. The real-time monitoring capability, handling up to 16 cameras simultaneously, ensures comprehensive surveillance.
Poswal revealed plans to replicate the system at other entry points, such as Margon Top and Sinthan Top, and eventually extend its implementation to districts across Jammu and Kashmir, including Kashmir, Rajouri, Poonch, Reasi, and Doda. The technology is set to play a pivotal role in preventing the movement of militants and their sympathisers in these mountainous areas that have faced the brunt of terrorism.

This story was originally published in kashmirlife.net. Read the full story here .