In a first for Rajasthan, Churu police leveraged advanced artificial intelligence (AI) to solve a high-profile Rs2.73 crore jewellery heist, arresting three members of the notorious Battery Gang from Uttar Pradesh. This groundbreaking use of AI set a new benchmark in crime detection for the state.
Churu SP Jai Yadav confirmed on Tuesday that the AI tools helped identify masked criminals who had attempted to conceal their identities during the robbery. The incident occurred on November 30 at a jewellery showroom in Ratangarh.
Using CCTV footage, the AI software analyzed the eye shapes and skin tones of the masked suspects and matched the profiles with known criminals from UP. The gang had also tried to evade capture by switching the number plates on their getaway vehicle, but the software was able to trace the original registration number, tracking the vehicle’s movements across Jhunjhunu, Kuchaman City, and other towns.
“The suspects broke in through the roof, disabled CCTV systems, and used gas cutters to break into safes. They avoided main roads and CCTV zones,” said SP Yadav. AI didn’t just help in facial identification; it also played a key role in identifying the real vehicle owner, which proved pivotal.
Arrested in connection with the case were:
Bhagirath (42) – Auraiya district, Uttar Pradesh
Yadram (52) – Auraiya district, Uttar Pradesh
Ajmer Singh (48) – Originally from Jaipur’s Jhotwara, residing in Kuchaman City
The stolen Ertiga vehicle used in the heist was recovered along with a portion of the looted jewellery.
SP Yadav described the crime as a “blind theft,” highlighting the gang’s meticulous strategy. The Battery Gang was known for scouting targets for nearly 20 days, switching vehicle plates, avoiding surveillance, and planning their escape routes in advance.
This case marks a milestone for Rajasthan Police, showcasing how AI can be a game-changer in identifying criminals who operate under deep concealment.
