Delhi Police solves burglary using facial recognition technology
Delhi Police used facial recognition system technology to identify and arrest a suspect in a burglary case, recovering stolen cash and jewellery items. The technology matched the suspect's face from CCTV footage against a police database, leading to the arrest of two individuals involved in the theft and resale of stolen goods.
What happened
A PCR call was received on February 16 reporting a burglary at a house in Mukherjee Nagar in Northwest Delhi, where gold items were stolen.
Delhi Police analysed CCTV footage and obtained a clear image of the suspect, then used facial recognition system (FRS) technology to identify Imran (28) from Timarpur, a habitual offender with previous involvement in theft.
During interrogation, Imran confessed to the crime and revealed he had sold the stolen jewellery to Sachin Verma (36), a goldsmith, who was subsequently arrested.
Reported impact
Police recovered Rs 5.87 lakh in cash, diamonds and pearls, and stolen articles from the suspects.
Classification
Sources and evidence
This record was researched and written by the Index, based on the following original reporting.