MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611068442 A) filed by Chandigarh University on June 01, 2026, for Automated Crack Detection And Repair System For Four-Wheeler Vehicles Using Ai And Multi-Sensor Scanning.
Inventors include Bebesh Tripathy; and Pritesh Tripathy.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention relates to an Automated Crack Detection and Repair System for four-wheeler vehicles integrating multi-sensor inspection, artificial intelligence based analysis and robotic repair in a unified platform. The system includes a sensor module comprising a 3D LiDAR scanner, ultrasonic transducers and a thermal imaging unit configured to detect surface and subsurface cracks in vehicle components. Data collected from the sensors is processed by a control unit executing a convolutional neural network (CNN) model to classify crack severity and determine suitable repair strategies. A robotic repair module including a multi-axis robotic arm with a dynamic tool-changing mechanism performs automated repair operations. The system further performs post-repair validation through repeat LiDAR scanning in a closed-loop feedback mechanism. The system incorporates terahertz imaging, federated learning for AI improvement, blockchain-based documentation, and IoT connectivity for predictive maintenance and quality assurance.
Disclaimer: Curated by HT Syndication.
