MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079291 A) filed by Sai Vidya Institute Of Technology on June 27, 2026, for Driver Somnolence Detection And Alert System.
Inventors include Dr. Manjunath T N; Prof. Jayaprada S. Hiremath; Dr. Shantakumar B. Patil; Dr. Shashikumar D. R; Prof. Lalitha K; Prof. Niveditha M; Prof. B N Arathi; Ayush; Abhishek P; Akshay Kumar R; and Anugraha Narayan Singh.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention relates to a Driver Somnolence Detection and Alert System designed to enhance road safety by continuously monitoring a driver's level of alertness during vehicle operation. The system comprises a camera module, sensors, a processing unit, and an alert mechanism that work together to detect signs of driver fatigue, drowsiness, or sleep-related inattentiveness. The camera module captures real-time facial images or video frames of the driver, while the processing unit analyzes facial features such as eye blinking patterns, eye closure duration, yawning frequency, and head position using image processing and pattern recognition techniques. When the system identifies indications of drowsiness based on predefined conditions and thresholds, it automatically activates one or more alert mechanisms, including audible alarms, voice warnings, vibration alerts, flashing lights, or mobile notifications, to immediately draw the driver's attention and prevent potential accidents. The proposed system is adaptable for installation in various types of vehicles, including cars, buses, trucks, taxis, and commercial transportation systems. The invention further discloses a method for detecting driver fatigue by capturing facial data, analyzing eye and head movements, identifying fatigue symptoms, comparing the observed behavior with predefined drowsiness parameters, and generating timely warning signals upon detection of unsafe conditions. By providing real-time monitoring and early intervention, the system significantly reduces the risk of accidents caused by driver sleepiness, thereby improving driver safety, passenger protection, and overall transportation efficiency.
Disclaimer: Curated by HT Syndication.
