Ahmedabad: In a major step toward AI-driven urban governance, the Ahmedabad Municipal Corporation (AMC) is set to roll out an artificial intelligence-based dashcam project under Smart City Ahmedabad Development Limited (SCADL), enabling public buses to automatically detect civic and traffic-related issues across the city.

Under the initiative, nearly 1,000 AMTS and BRTS buses will be equipped with high-definition AI-enabled dashcams that will function as moving surveillance and monitoring units across Ahmedabad’s road network. Unlike conventional CCTV cameras that remain fixed at one location, these mobile cameras will cover more than 5,000 km of roads while operating on different city routes.

The AI-powered system will identify issues in real time and automatically transmit data to AMC servers for prompt action.

The AI dashcams will monitor nearly 20 different civic and traffic-related use cases. During the initial six months, authorities will focus on primary civic issues before expanding the system’s capabilities further.

The system will be capable of detecting garbage on roads, waterlogging, potholes, open manholes, helmetless riders, wrong-side driving, stray cattle, people sleeping on footpaths, illegal parking, malfunctioning traffic signals, damaged streetlights and road cracks. For example, if garbage is found dumped on roads, potholes emerge or traffic violations occur, the system will instantly detect the problem and generate alerts for civic authorities.

The project aims to shift Ahmedabad’s governance model from complaint-based administration to proactive monitoring. Until now, AMC’s Centralised Complaint Redressal System (CCRS) largely depended on citizens reporting issues. With the new system, authorities will be able to identify and address problems even before complaints are lodged.

The project is expected to significantly reduce response time, as the system itself will generate tickets and alerts instead of waiting for manual complaints and verification. The collected data will also help AMC identify accident-prone zones, recurring pothole locations and areas with frequent traffic violations, allowing better urban planning and targeted maintenance.

Authorities added that automation would also reduce human bias in traffic enforcement and make the e-challan process more transparent.

The project is expected to be implemented within the next six months, while maintenance and operational support will continue for three years. DeshGujarat