MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641018101 A) filed by Srm Institute Of Science And Technology; and Easwari Engineering College, Chennai, Tamil Nadu, on Feb. 18, for 'computer vision-based framework for natural and artificial mango ripening detection.'
Inventor(s) include Dr. Danesh K; Kunal J; Ramesh Kanna E; and Abishek N.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a computer vision-based system for automatically identifying the ripening method of mangoes using deep learning techniques. The system accepts a digital image of a mango as input and performs image preprocessing operations including resizing and normalization. The processed image is then analyzed using a trained convolutional neural network based on the MobileNetV2 architecture to extract visual features related to color, texture, and surface characteristics. Based on these features, the system classifies the mango as either naturally ripened or artificially ripened and provides a confidence score for the prediction. The invention eliminates the need for chemical testing or manual inspection and offers a non-destructive, low-cost, and real-time solution for mango ripening analysis. The system is deployed through a web-based interface, making it accessible to consumers, farmers, vendors, and food safety authorities for effective quality assessment and food safety assurance."
Disclaimer: Curated by HT Syndication.
