Burglary case solved using facial recognition tech, two in police net

The Delhi Police have solved a burglary case with the help of the facial recognition system (FRS) technology and arrested two men, officials said on Friday. The police said stolen cash amounting to Rs 5.87 lakh along with diamonds and pearls broken from the stolen jewellery has been recovered.

A PCR call was received on February 16 regarding a burglary at a house in Mukherjee Nagar in Northwest Delhi, the police said.

The complainant, Naveen Kumar Chopra, said suspects broke into his house and stole gold items. Following his complaint, an FIR was registered and investigation was launched, they said.

A police team analysed CCTV footage and obtained a clear image of the suspect. Using FRS technology, the suspect was identified as Imran (28) from Timarpur, who is a habitual offender with a previous involvement in theft, officials said.

The team conducted a raid at his house in his native village, leading to his arrest. During interrogation, he confessed to the crime and revealed that he had sold the stolen jewellery to a goldsmith, Sachin Verma (36), they added.

Following Imran’s disclosure, the police recovered Rs 5.87 lakh in cash and some stolen articles, including diamonds and pearls, Deputy Commissioner of Police (Northwest) Bhisham Singh said.

Further investigations led to the arrest of Verma, from whom the police recovered jewellery fragments.