MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123196 A) filed by Chetan Gowdihalli Rajappa; and Balaji Somlar, Bangalore, Karnataka, on Dec. 6, 2025, for 'intelligent helmet sanitization and compliance system with ai-based dose verification, environmental adaptation, queue-aware energy optimization, vibration-assisted dust removal, and iot-enabled predictive maintenance.'
Inventor(s) include Chetan Gowdihalli Rajappa; and Balaji Somlar.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "Implemented on embedded infrastructure comprising processors, sensors, actuators, vibration modules, and communication interfaces, a helmet sanitization system is presented featuring a sealed chamber equipped with ultraviolet (UV-C) emitters, ozone/ionized-air generators, heated airflow devices, and optional antimicrobial mist atomizers. The system performs zone-based dose verification by mapping helmet interior surfaces and determining cumulative disinfectant exposure using photodiode sensors and calibrated optical estimation models. An automatic dose-extension loop continues the cycle until all zones meet predefined thresholds. Safety interlocks prevent door release until ozone concentration falls below 0.05 ppm and temperature drops below 45 C, confirmed through dual-redundant sensing and catalytic purge control. Authenticated consumable cartridges prevent the use of counterfeit or expired supplies. A processor-controlled vibration module dislodges surface dust and particulate matter prior to the sanitization cycle, improving treatment consistency under varying environmental conditions. Queue-aware energy optimization selects Express or Deep modes based on real-time demand and predicted usage, reducing warmup and standby power consumption. The controller generates digitally signed, hash-linked sanitization certificates containing per-zone dose values and uploads tamper-evident records to cloud-based compliance platforms. Predictive maintenance algorithms forecast emitter replacement and consumable replenishment based on aging trends and cumulative dose logs."
Disclaimer: Curated by HT Syndication.
