MUMBAI, India, June 24 -- Intellectual Property India has published a patent application (202421097472 A) filed by Dr. J. J. Magdum College Of Engineering; Prof. Pallavi R. Desai; Dr. Dadaso B. Desai; Prof. Archana V. Gundavade; Prof. Amitkumar S. Sajane; Dr. Jagdish S. Lambe; Prof Prashant P. Patil; Prof. Ravindrakumar H. Yadav; Prof. Dhanashree A. Latthe; and Ms. Sakshi S. Hadgule on December 10, 2024, for Integrated Autonomous Road Cleaning And Maintenance System With Real-Time Hazard Detection.

Inventors include Prof. Pallavi R. Desai; Dr. Dadaso B. Desai; Prof. Archana V. Gundavade; Prof. Amitkumar S. Sajane; Dr. Jagdish S. Lambe; Prof Prashant P. Patil; Prof. Ravindrakumar H. Yadav; Prof. Dhanashree A. Latthe; and Ms. Sakshi S. Hadgule.

The application for the patent was published on June 12, 2026, under issue no. 24/2026.

Abstract: Integrated Autonomous Road Cleaning and Maintenance System with Real-Time Hazard Detection This invention describes an autonomous multi-functional system for road maintenance, integrating cleaning, hazard detection, and pothole repair into a single apparatus. Utilizing advanced sensors such as LiDAR, high-resolution imaging cameras, and depth sensors, the system performs real-time surface anomaly detection and generates detailed road condition data. A dual-action cleaning mechanism combines vacuum suction for lightweight debris removal and magnetic technology for extracting metallic hazards. The onboard repair module, equipped with a temperature-controlled material chamber and precision dispensing mechanisms, enables immediate filling and compacting of minor potholes. The system incorporates GPS-based autonomous navigation, route optimization, and obstacle avoidance for efficient operation, while a digital mapping module records and categorizes hazards by urgency, transmitting data to remote monitoring stations. Designed for sustainability, the system integrates energy-efficient components, debris segregation for recycling, and eco-friendly operations, offering a comprehensive solution for enhancing road safety, reducing maintenance inefficiencies, and supporting long-term infrastructure planning.

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