MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050564 A) filed by Easwari Engineering College, Chennai, Tamil Nadu, on April 21, for 'al-based automated defective exhibit identification system placed in a gallery.'
Inventor(s) include Yuvaraj R; Saravana Dhinesh N; and Saranya S.
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 Artificial Intelligence for Defective Exhibit Identification System is a sophisticated, automated framework engineered to safeguard gallery environments through advanced computer vision. By leveraging deep learning-based image classification and specialized anomaly detection, the system facilitates continuous, real-time visual inspections of precious artifacts. High-resolution smart cameras capture granular visual data, which is processed via edge computing to immediately identify structural damage, surface deterioration, or subtle environmental impacts. To optimize performance, a centralized unit aggregates these findings using confidence-score fusion, ensuring high alert accuracy while maintaining privacy by discarding unnecessary raw footage. Administrators receive instantaneous notifications through an intuitive dashboard, complete with detailed maintenance reports that pinpoint defect localization and severity. Designed for versatility, AI-DEIS scales effortlessly across diverse exhibition spaces and adapts to fluctuating lighting conditions. Experimental data confirms that the system significantly reduces manual labor and accelerates response times, effectively transforming preventive maintenance exhibit preservation into a streamlined, data-driven process."
Disclaimer: Curated by HT Syndication.
