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economictimes.indiatimes.com / 1 year ago
economictimes.indiatimes.com / 1 year ago
economictimes.indiatimes.com / 1 year ago
Chandni Chowk robbery: Suspects caught within 24 hours as police use Israeli face tracking technology
Delhi Police Wednesday arrested two men for allegedly robbing about Rs 80 lakh from a trader at gun point in Chandni Chowk two days ago. The case has been solved within 24 hours with the help of Israeli face recognition software, TOI reported.
The suspects, identified as Mohammad Ali (21) and Samir (19), were arrested from Daryaganj. The entire stolen amount has been recovered from them, the police said.
The two had knowledge of the movement of of angadias (hawala couriers) in the area and planned to target a large cash transfer, a senior police officer said.
«On Monday, around 7.40pm, a trader, Ajamal, was returning home after collecting about Rs 80 lakh in cash. Near his residence in Haider Quli, a man stopped him at gunpoint, tried to snatch his bag and fired a shot at the ground when the victim resisted. The assailant then fled with the bag containing the cash. An FIR was registered at Lahori Gate police station and an investigation was launched,» the officer told TOI.
Footage was analysed from about 500 CCTV cameras across Chandni Chowk, Red Fort, Jama Masjid, Daryaganj and Lahori Gate to trace the route used by the robbers to escape. The police observed that they kept changing directions after the robbery.
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«A breakthrough came when Mohammad Ali's face was captured on CCTV near the crime scene. Using Israeli facial recognition software, our teams matched it with a prior criminal record from Kotwali police station. Once we had a positive match, we immediately moved to track him down,» said DCP (North) Raja Banthia.
A team then set up a trap to nab Ali in Daryaganj and arrested him. «During interrogation, he revealed his accomplice's identity — Samir, also a resident of Daryaganj. A follow-up
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