MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048331 A) filed by Seshadri Rao Gudlavalleru Engineering College; Aditya Y; Gangireddy Dhanesh; Bavireddy Vaishnavi; Sarika Boddu; and Ajmeera Harika, Gudlavalleru, Andhra Pradesh, on April 16, for 'vision based real time driver drowsiness, crash detection and alert system.'
Inventor(s) include Seshadri Rao Gudlavalleru Engineering College; Aditya Y; Gangireddy Dhanesh; Bavireddy Vaishnavi; Sarika Boddu; and Ajmeera Harika.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "Road accidents caused by fatigue and delayed emergency response continue to be global safety problems. In order to increase road safety, this study presents a real-time driver drowsiness and accident warning system that makes use of computer vision and sensor-based monitoring. The driver's face is captured by a dashboard-mounted camera, and yawning and blinking are signs of fatigue. A pretrained algorithm collects facial landmark points and calculates the Eye Aspect Ratio (EAR) and Mouth Aspect Ratio (MAR) to identify prolonged eye closure and excessive yawning. Instant auditory indications for fatigue are sent to drivers. Additionally, an accelerometer-based module monitors sudden crashes or unusual vehicle motions to identify collisions. Following an accident, the system instantly notifies emergency contacts via IoT of the vehicle's location. The proposed technology is feasible in intelligent transportation systems because to its affordable, non-invasive, real-time preventative drowsiness detection and prompt post-accident response."
Disclaimer: Curated by HT Syndication.
