MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202631043271 A) filed by Narula Institute Of Technology, Kolkata, West Bengal, on April 4, for 'adaptive edge-based multimodal driver drowsiness detection system misclassification challenges.'

Inventor(s) include Madhumita Das; Hriteeka Singh; Mitali Das; Arghasree Palit; Sohinee Mondal; and Ritama Sharma.

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: "An adaptive edge-based multimodal driver drowsiness detection system and method are disclosed. The system utilizes a decentralized edge-computing architecture to process integrated visual and vehicular telemetry data in real-time, bypassing the latency constraints of cloud-based processing. By employing high-speed ocular tracking and facial landmark analysis via quantized neural networks, the system identifies physiological indicators of fatigue. An adaptive personalization module dynamically recalibrates detection thresholds based on an individual driver's behavioral baseline, significantly enhancing classification accuracy and reducing false alarms. The invention further incorporates a multi-stage alert mechanism and optional IoT-based fleet monitoring, providing a robust, low-latency safety solution that maintains high operational reliability across diverse environmental and lighting conditions."

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