Thursday, July 16, 2026
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PATENT – A Drowsiness Detection System – Dr. Vineetha Vijayan & Dr. Pushpalatha K P | SOCS MGU

Patent Awarded for Advanced Artificial Intelligence System for Early Detection of Driver Sleepiness and Accident Prevention

Mahatma Gandhi University, Kottayam – Government of India Patent Granted

Patent No. 576349 | Application No. 202441041664

Dr Vineetha Vijayan

The Inventors

The patented technology was developed by Dr. Vineetha Vijayan, Research Scholar (2018–2025),
School of Computer Sciences, Mahatma Gandhi University, under the guidance of
Prof. (Dr.) Pushpalatha K. P, Professor, School of Computer Sciences.

The innovation emerged from advanced doctoral research focused on intelligent vision-based safety systems
and real-time behavioral analysis.

Official Patent Certificate

Patent Certificate

Innovation Overview

The patented system employs a unique metric-learning-based architecture addressing critical road safety challenges.
It detects subtle and progressive signs of driver fatigue by analyzing facial dynamics and learned visual features.

The system identifies early indicators of drowsiness and issues timely alerts within milliseconds, significantly
reducing fatigue-related accidents.

Advanced AI techniques enhance detection accuracy, reduce false alarms, and improve system reliability.

Translational & Commercial Potential

The invention holds strong translational research potential with planned field-level validation under diverse driving conditions.

Potential applications include:

  • Integration into automobiles
  • Deployment in commercial transport systems
  • Licensing to AI-based safety solution providers

Future advancements include an adaptive human-vehicle collaboration module transforming the system
into a proactive, context-aware accident prevention framework.

Research Image

Technical Advancement & Recognition

The system demonstrates clear originality and improved early detection capability compared to international patents:

  • US6822573B2
  • US6243015B1
  • US7202792B2
  • US20090261979A1
  • US11373502B2

The research received seed funding support from Research Innovation Network Kerala (RINK)
under Kerala Startup Mission, Government of Kerala.

 

Research Image