MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641112933 A) filed by Bhuvanendhiran; Dr. Manjunath Singh H; Mrs. Bindu M; Dr. Jansi Rani J; and Dr. Manjunatha C on September 21, 2026, for Ai Enabled Multi-Modal Sensor Fusion System For Real-Time Detection Of Chemical Ripening Agents And Surface Chemical Residues In Fruits.

Inventors include Bhuvanendhiran; Dr. Manjunath Singh H; Mrs. Bindu M; Dr. Jansi Rani J; and Dr. Manjunatha C.

The application for the patent was published on September 25, 2026, under issue no. 39/2026.

Abstract: The present invention relates to an AI-enabled multi-modal sensor fusion system for real-time detection of chemical ripening agents and surface chemical residues in fruits. The system comprises a fruit positioning unit and a plurality of physically distinct sensors including an optical imaging sensor, a spectral sensor and a gas sensing sensor configured to acquire multi-modal sensing data from a fruit sample. A sensor acquisition and preprocessing unit synchronizes and preprocesses the acquired sensing signals, followed by extraction of spatial, spectral and chemical-response features. A multi-modal sensor fusion unit combines the extracted features to generate a fused feature representation. An artificial-intelligence-based classification unit processes the fused feature representation using a trained machine-learning model to identify sensor signatures associated with chemical ripening agents and/or surface chemical residues. An output unit generates a real-time detection result and optionally a confidence value and alert. Environmental sensing and compensation may be employed to reduce variations caused by temperature and humidity. The system may be implemented using edge processing to perform local real-time inference while reducing transmission of raw sensor data. The invention provides a non-destructive, rapid and integrated approach for detecting chemical treatment and surface chemical residues in fruits using combined optical, spectral and chemical sensing information.

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