Mumbai | Mumbai’s city-wide surveillance infrastructure is entering its next phase of expansion, with one of the country’s largest urban surveillance upgrades set to deploy approximately 15,000 cameras across five zones. The initiative is designed to significantly strengthen real-time monitoring, inter-agency coordination, and overall public safety across the city.
This phase is being executed by a consortium comprising GVPR Engineers Limited (an Indian infrastructure company specializing in large-scale civil engineering projects), Secutech Automation (a leading Master System Integrator (MSI) specialising in large-scale digital integration for smart buildings and cities), and CMS Computers (an Indian Information and Communications Technology player), bringing together expertise across infrastructure execution, manpower deployment, and integrated technology systems.
Building on earlier phases of the Mumbai City Surveillance Project, which established widespread camera networks across key locations, this phase moves beyond scale to focus on system intelligence and integration. The upgraded network is expected to incorporate AI-driven video analytics, including facial recognition, traffic monitoring, speed violation detection, and advanced behavioural analysis.
The deployment will integrate feeds across zones into a unified operational framework, enhancing coordination between law enforcement and city administration. The system is expected to support day-to-day operations such as traffic regulation, incident response, and urban monitoring, while strengthening overall public safety infrastructure.
Unlike earlier systems that were largely reactive, the current phase is designed to enable proactive monitoring and faster decision-making, allowing authorities to respond to incidents in real time while also improving preventive capabilities. In Mumbai’s high-density environment, where surveillance systems are now expected to support not just law enforcement but also disaster response, traffic management, and civic monitoring, the shift toward AI-driven, real-time systems is a necessity.
The project is expected to commence in May 2026, with implementation and operations planned over a six-year period.