In order to enhance crowd control and spectator safety, Royal Challengers Bengaluru (RCB) has suggested installing artificial intelligence (AI)-enabled cameras at the M. Chinnaswamy Stadium. The IPL team presented a thorough surveillance plan in an official letter to the Karnataka State Cricket Association (KSCA) in order to prevent crowd-related incidents and boost venue confidence before upcoming cricket matches.
The suggestion follows the devastating stampede that occurred on June 4 at RCB’s IPL 2025 triumph celebrations, which left 11 fans dead and numerous others injured. Cricket was suspended at the stadium after a government-appointed commission declared it hazardous for big gatherings after the event. Following this, Chinnaswamy Stadium lost games that were planned for the 2025 Women’s World Cup and the 2026 T20 World Cup. Additionally, authorities refused to allow the venue to host Vijay Hazare Trophy matches. In order to address safety issues, RCB has suggested a technology-driven solution, even if their home ground will be moved out for the 2026 Indian Premier League.
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To assist KSCA and law enforcement in crowd surveillance, RCB has suggested placing 300 to 350 AI-enabled cameras throughout the stadium. The franchise claims that the system will help with effective crowd control, enforce orderly lines, monitor entry and departure, and stop illegal entrance. It is anticipated that the technology will enhance general spectator safety and lower dangers during high-attentive games.
The franchise has demonstrated its readiness to invest in long-term safety infrastructure by agreeing to pay the whole one-time cost of about INR 4.5 crore.
The program was started in response to the June tragedy and is a part of RCB CARES.
RCB has teamed up with Staqu, a technology company based in Gurugram that specialises in automation and public safety, to carry out the project. Advanced facial recognition technology and intelligent crowd, object, perimeter, and vehicle monitoring are among Staqu’s solutions. Numerous state police departments have previously benefited from these systems’ assistance with surveillance and investigations.
It is important to note that the AI platform uses data-driven intelligence and real-time video analytics to identify early indicators of issues like aggression, trespass, or unauthorised access. As a result, law enforcement will respond more effectively and intervene more quickly.
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