MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641003514 A) filed by Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, on Jan. 13, for 'real time texture based fruit classification and quality assessment.'
Inventor(s) include Dr. K. Gopalakrishnan; and Dr. V. Karthikeyan.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The current invention reveals a system for real-time texture-based fruit categorization and quality evaluation. It aims to effectively facilitate an accurate, non-destructive, and automated fruit assessment system for use in agriculture and industry. The system uses the digital image acquisition component to allow the acquisition of high-resolution images of the fruit surface. The images are titken using proper lighting to ensure stability and resistance to environmental changes. The images are processed to smoothen the image noise, normalize image brightness, and identify the region of interest. The images are analyzed using advanced extraction feature methodologies: Gray Level Co-occurrence Matrix, Local Binary Patterns, and Statistic Texture. The system uses an intelligent machine learning/deep learning model to evaluate the extracted images. The classified images are displayed in an output interface. The system has the ability to identify irregularities in the fruit surface while also determining maturity. The system distingmshes maturity levels wilhuul uau1aging the fruit. The ~;y&tem has the capacity to be integrated with sorting and grading systems for use on an industrial scale. The system also has the ability to store information from the evaluated images. The system proposed has minimal dependence on human assessment. It increases speed and reduces errors. The system has better stability against environmental changes due to dependence on images rather than color. The current invention presents an intelligent system for automated fruit categorization and quality assessment. It leads to better post-harvest management and better loss reduction. It also enhances fruit quality analysis in the current agricultural and food production sectors."
Disclaimer: Curated by HT Syndication.
