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Jammu civic body deploys AI-based system for pothole detection and road repairs

#Law & Policy#Infrastructure#India#Jammu and Kashmir
Synopsis

The Jammu Municipal Corporation (JMC) has operationalised an integrated road maintenance system that combines Artificial Intelligence (AI)-based road monitoring with mechanised pothole repair technology across Jammu city. Introduced in the past week ahead of the monsoon season, the initiative involves municipal vehicles equipped with AI-enabled cameras that continuously monitor roads, identify defects, geo-tag locations and generate digital reports for engineering teams. The identified defects are then repaired using a cold emulsion pothole patching machine commissioned by the civic body. According to officials, the system is designed to reduce the time taken between defect detection and repair while improving road safety and maintenance efficiency. Beyond potholes, the AI platform can also identify a range of civic issues including waterlogging, open manholes, illegal parking, encroachments and waste dumping, supporting broader urban management objectives.

The Jammu Municipal Corporation (JMC) has launched an integrated Artificial Intelligence (AI)-based road monitoring and repair system in Jammu city, combining automated defect detection with mechanised pothole repair technology to improve road maintenance ahead of the monsoon season. The initiative was introduced in the past week as part of the civic body's efforts to ensure quicker identification and rectification of damaged road surfaces across the city. 
Under the programme, specially equipped municipal vehicles fitted with AI-enabled cameras have been deployed to conduct continuous surveillance of city roads. The technology automatically identifies potholes and other surface defects, geo-tags their locations and generates digital reports that are transmitted to engineering teams for further action. The system is intended to create a structured and data-driven mechanism for monitoring road conditions across Jammu. 
Officials said that locations identified through the AI platform are taken up for immediate repair using a newly commissioned cold emulsion pothole patching machine. The machine has been introduced to undertake rapid and scientifically managed repairs, enabling road restoration in varying weather conditions while reducing the time gap between defect detection and corrective action. A live demonstration was organised by the civic body to showcase the functioning of the technology and the repair equipment. 
JMC Commissioner Devansh Yadav stated that the corporation had adopted a proactive approach to road maintenance by leveraging modern technology before the onset of the rainy season. He indicated that integrating AI-powered monitoring with mechanised repair systems would help improve road safety, enhance riding comfort and minimise deterioration of road infrastructure during periods of heavy rainfall. 
The scope of the AI platform extends beyond pothole detection. According to the corporation, the system is capable of identifying a broad range of civic and municipal issues, including garbage accumulation on roads, overflowing dustbins, waterlogging, open drains, open manholes, damaged pavements, broken road markings, illegal parking, encroachments, stray cattle and construction and demolition waste dumping. The information generated through the platform is expected to support municipal departments in responding more efficiently to urban service issues. 
Officials further stated that the initiative represents a move towards predictive maintenance and data-driven urban management. By combining real-time monitoring with faster repair mechanisms, the corporation aims to establish a more responsive framework for maintaining civic infrastructure and delivering municipal services. The deployment also aligns with broader efforts by urban local bodies to use digital technologies for infrastructure management, service delivery and public asset maintenance. 
Source - PTI

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