Intellectual Property India Publishes Patent Application for 'Image-Based Quantification Of N Coralene Orange Dye Using Machine Learning' Filed by Dr. Satchidanand Ramdasji Satpute; Shantanu Ishwardas Satange; Titiksha Sunil Patil; Yash Baliram Misal; Pranjali Karamchand Vairagade; and Siddhant Gopalrao Thopate

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202621025546 A) filed by Dr. Satchidanand Ramdasji Satpute; Shantanu Ishwardas Satange; Titiksha Sunil Patil; Yash Baliram Misal; Pranjali Karamchand Vairagade; and Siddhant Gopalrao Thopate, Pune, Maharashtra, on March 4, for 'image-based quantification of n coralene orange dye using machine learning.'

Inventor(s) include Dr. Satchidanand Ramdasji Satpute; Shantanu Ishwardas Satange; Titiksha Sunil Patil; Yash Baliram Misal; Pranjali Karamchand Vairagade; and Siddhant Gopalrao Thopate.

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 invention discloses a portable dye concentration estimation system integrating controlled LED illumination and a MobileNet-based convolutional neural network. Dye samples are imaged using a smartphone device within a standardized imaging chamber to ensure consistent lighting conditions. Preprocessed images are analyzed by a trained deep learning model to predict concentration levels. The system eliminates dependence on conventional spectrophotometric instrumentation and provides a scalable, low-cost solution for colorimetric chemical analysis."

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