MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641077194 A) filed by Sns College Of Technology on June 23, 2026, for Onroad Ai – An Ai Powered Real Time Road Hazard Detection System.
Inventors include Dr. M. Siva Ramkumar; Jayadharani S; Jayavarshini J; Keerthishree T S; M Parvathy Varma; Mrs. B. Sajitha; and Dr. Husna Khouser G.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention relates to an automated pothole detection system utilizing deep learning-based object detection techniques to identify and localize potholes in road images. The system employs a YOLO-based model for real-time detection, providing accurate bounding box predictions and confidence scores. It integrates data preprocessing, model training, and inference mechanisms within a unified framework. Additionally, a web-based interface allows users to upload images and receive immediate detection results. The system enhances road safety and infrastructure monitoring by providing an efficient and scalable solution for automated pothole detection. The system is designed to operate effectively under varying environmental conditions such as different lighting, weather, and road textures. It ensures consistent detection performance across diverse datasets and real-world scenarios. The invention also supports easy scalability for integration with mobile applications and smart transportation systems. Furthermore, it enables timely identification of road defects, assisting authorities in proactive maintenance and reducing risks associated with damaged road surfaces.
Disclaimer: Curated by HT Syndication.
