MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202621093601 A) filed by Prof. Dr. Selby Jose; Mr. Kalpesh Sandhya Anand Gaikwad; Dr. Sunil Singh; Ms. Deepmala Nimaichand Maity; Mr. Omkar S. Patil; Dr. Abhijeet Rawal; Ms. Jagruti Dhuri; Ms. Juilie Shinde; Ms. Pranjali Rajeshwar Andhale; and Mr. Yash Nitin Devrukhakar on August 02, 2026, for Sapta-Drishti Driver Guard.
Inventors include Prof. Dr. Selby Jose; Mr. Kalpesh Sandhya Anand Gaikwad; Dr. Sunil Singh; Ms. Deepmala Nimaichand Maity; Mr. Omkar S. Patil; Dr. Abhijeet Rawal; Ms. Jagruti Dhuri; Ms. Juilie Shinde; Ms. Pranjali Rajeshwar Andhale; and Mr. Yash Nitin Devrukhakar.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The present invention relates to a multimodal Driver Monitoring AI system for real-time monitoring of driver drowsiness, distraction, and indicators associated with possible alcohol-related impairment. The system comprises a camera-based behavioral monitoring module configured to derive Eye Aspect Ratio (EAR), Percentage of Eye Closure (PERCLOS), blink characteristics, Mouth Aspect Ratio (MAR), head-pose angles, gaze deviation, and repeated face-rubbing gestures as supplementary indicators of fatigue or drowsiness. A gas-sensor module generates a signal indicative of alcohol vapor present in air in proximity to the driver. A fusion classification module combines the gas-sensor signal with camera-derived behavioral features to assess the driver’s state as alert, drowsy, distracted, or indicative of possible alcohol- related impairment. Corroboration between alcohol-vapor sensing and behavioral indicators improves classification reliability and reduces false-positive determinations arising from either sensing modality independently. The system further provides graduated audible and haptic driver feedback, driver alerts responsive to detected nearby-vehicle proximity, external vehicle-light flashing upon persistence of an unsafe driver state, remote event notifications to predefined or authorized recipients, and time-stamped event logging for subsequent monitoring and authorized assessment.The invention is implementable on a low-cost embedded processing platform, providing a compact, scalable, and integrated driver-monitoring, warning, and accountability system suitable for different vehicle types and AI-enabled automotive platforms.
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