New Delhi: The Public Works Department (PWD) has proposed to use an artificial intelligence-based Intelligent Road Maintenance and Monitoring System to strengthen road upkeep and improve complaint management across the Capital, officials said.
The proposed system is designed as a comprehensive, technology-driven platform that will integrate multiple data sources to enable real-time monitoring of road conditions and faster resolution of civic issues, they added.
“The initiative will combine artificial intelligence, video analytics and mobile-based inspections to create a centralised mechanism for identifying and addressing road-related defects. At the core of the project is a central AI-enabled issue management platform that will aggregate complaints and inputs from various channels,” an official said.
The system will provide unified visibility to officials, allowing them to track complaints, assign tasks and monitor resolution timelines more efficiently. The officials added that this platform is being designed to bring together all road-related complaints and field inputs into a single system. AI will help in sorting, prioritising and tracking issues to ensure timely action.
Artificial intelligence will also be deployed for detecting roadside debris and obstructions using video feeds. The system will analyse visual data to identify garbage, debris and other objects that may affect road safety or cleanliness. Officials said this will allow for quicker identification of hazards and enable field teams to respond in a timely manner.
“The use of AI-based video analytics will help us detect issues like debris or obstructions without waiting for manual reporting. This can significantly reduce response time and improve road safety,” the official added.
In addition, the project proposes developing a mobile application to support periodic road inspections. The app will allow field personnel to capture geo-tagged videos and images of road conditions, which will then be processed using AI algorithms to detect defects such as potholes and cracks. Officials said the application will also classify defects based on severity, enabling prioritisation of repair work.
“AI will help in categorising defects and generating automated reports, which will support better decision-making and resource allocation,” the official said.
Another component of the proposed system includes AI-based monitoring of key construction equipment such as rollers and pavers. Using video analytics, the system will assess whether equipment is operational, idle or being used for specific activities like compaction and paving. This is expected to improve oversight of ongoing road works and enhance accountability.
The proposal also includes establishing an Integrated Command and Control Centre (ICCC) equipped with video management software and AI-based analytics tools. The project is planned for implementation over a 12-month period.
