NEW DELHI: The Public Works Department (PWD) has proposed the use of artificial intelligence-based intelligent road maintenance monitoring system to strengthen road maintenance and improve complaint management across the national capital, officials said.
The proposed system is designed as a comprehensive technology-driven platform that integrates multiple data sources, enabling real-time monitoring of road conditions and faster resolution of civil issues, they added.
“The initiative will combine artificial intelligence, video analytics and mobile-based inspection to create a centralized mechanism to identify and address road-related deficiencies. The core of the project is an AI-powered central issue management platform that aggregates complaints and inputs from various channels,” the official said.
The system provides unified visibility for authorities, allowing them to track complaints, assign tasks, and monitor resolution schedules more efficiently. Officials added that the platform is designed to bring together all road-related complaints and inputs from the field into a single system. AI helps categorize, prioritize, and track issues to ensure timely action.
Artificial intelligence will also be deployed to detect roadside debris and obstacles using video feeds. The system analyzes visual data to identify trash, debris, and other objects that can impact road safety and cleanliness. Officials said this will allow hazards to be identified more quickly and allow field teams to respond in a timely manner.
“AI-based video analysis allows us to detect issues such as debris and obstructions without waiting for manual reporting. This has the potential to significantly reduce response time and improve road safety,” the official added.
Additionally, the project proposes the development of a mobile application to support regular road inspections. The app allows field personnel to take location-tagged videos and images of road conditions, which are processed using AI algorithms to detect defects such as potholes and cracks. Officials say the application will also be able to categorize defects based on severity and prioritize repair efforts.
“AI will help classify defects and generate automated reports, supporting 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. The system uses video analysis to assess whether equipment is working, idle, or being used for specific tasks such as compaction or paving. This is expected to improve oversight of ongoing roadworks and strengthen accountability.
The proposal also includes the establishment of an Integrated Command and Control Center (ICCC) with video management software and AI-based analysis tools. The project is expected to run over 12 months.
