MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048415 A) filed by Sona College Of Technology, Salem, Tamil Nadu, on April 16, for 'ai-based rockfall prediction and real-time alert system for open-pit mines.'
Inventor(s) include Gokulraj J; Deepika S M; Jayasri K; Dhanusri S; Arjun B; Deepika M; and Jannani M.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-based rockfall prediction and real-time alert system for open-pit mines. The system receives weather data, ground vibration data, and image or video data through an API-based data receiving unit. A backend mine condition simulation module processes the received data to generate digital mine condition parameters representing slope stability conditions. An AI analysis module applies rule-based logic together with machine learning models to analyze the digital mine condition parameters and generate a rockfall risk output indicative of rockfall likelihood. A risk level assignment module converts the rockfall risk output into predefined rockfall risk levels. A notification and alert delivery module transmits real-time alerts corresponding to the assigned risk levels through one or more alert interfaces. The system predicts rockfall risk prior to physical rockfall occurrence, enabling proactive safety measures and reducing human and operational risk in open-pit mining environments."
Disclaimer: Curated by HT Syndication.
