MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202531098151 A) filed by Guru Nanak Institute Of Technology, Kolkata, West Bengal, on Oct. 11, 2025, for 'a smart calibration system for multi-modal smoking sensors.'
Inventor(s) include Dola Saha; Koushik Pal; Madhurima Sarkar; and Debjit Mukherjee.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure discloses a multi-modal smoke and vapor detection system comprising a thermal imaging module, a visible-spectrum imaging module, an acoustic sensing module, and an air-quality sensing module. Sensor outputs are processed by a machine learning engine that performs gesture recognition, thermal anomaly detection, acoustic pattern recognition, and chemical analysis. The system implements evidence aggregation logic to confirm smoking or vaping activities only when corroborative evidence from multiple modalities is detected within a defined context. Adaptive calibration modules enable environmental baseline learning, ensuring robustness across diverse deployment conditions. The system transmits real-time alerts to administrators while maintaining privacy compliance by limiting storage of personal data. The disclosure offers superior accuracy, reduced false positives, and enhanced applicability compared to prior art, thereby enabling effective enforcement of smoke-free environments in public and private spaces."
Disclaimer: Curated by HT Syndication.
