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Israeli facial recognition software identifies suspects in Delhi robbery
Delhi Police used Israeli facial recognition software to identify and arrest two men for robbing a trader of Rs 80 lakh at gunpoint in Chandni Chowk. The software matched a face from CCTV footage to a prior database with a 32.09 percent similarity score, leading to the suspects' arrest within 24 hours and recovery of the full amount.
17 March 2025 · Delhi Police · Privacy and surveillance
On March 17, 2025, a trader's employee, Ajmal Bhai Ganesh, was robbed at gunpoint of Rs 80 lakh in cash in Chandni Chowk, Delhi. An armed man stopped him, fired a warning shot when the victim resisted, and fled with the bag containing the cash.
Delhi Police analysed footage from nearly 500 CCTV cameras across Chandni Chowk, Red Fort, Jama Masjid, Daryaganj and Lahori Gate. Israeli facial recognition software was used to identify a suspect by matching a screengrab of an accused person with a prior database, yielding a similarity score of 32.09 percent.
Reported impact
Police arrested Mohammad Ali (21) and Samir (19) within 24 hours. The stolen amount of Rs 80 lakh was recovered, along with a semi-automatic pistol with three bullets.