MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049909 A) filed by Easwari Engineering College; and Srm Institute Of Science And Technology, Ramapuram Campus, Chennai, Tamil Nadu, on April 20, for 'a multi-food adulteration detection system using sensor fusion and machine learning.'
Inventor(s) include Abirami. R; Akshaya. A; and Dr. N. Ananthi.
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: "Food adulteration poses a significant threat to consumer safety, particularly in widely consumed products such as milk, honey, and edible oils. Conventional laboratory testing methods, although accurate, are time-intensive and unsuitable for rapid field deployment. The present invention proposes a portable and cost-effective multi-food adulteration detection system integrating sensor fusion with machine learning techniques. An ESP32-based sensing framework measures physicochemical parameters including pH, total dissolved solids (TDS), turbidity, density, refractive index, and temperature. Support Vector Machine and Random Forest models are employed for adulteration detection, classification, and estimation of adulteration levels. The dataset comprises experimental and synthetic samples to enhance robustness across varied adulteration scenarios. A Flask-based web interface enables real-time visualization of adulteration status, identified adulterant type, estimated concentration, and confidence indicators, facilitating efficient on-site food quality assessment for consumers, vendors, and regulatory authorities."
Disclaimer: Curated by HT Syndication.
