Drowsiness Detection System

Project Overview:


The Drowsiness Detection System is a critical safety feature designed for vehicles to mitigate the risks associated with driver fatigue and drowsiness. Leveraging advanced computer vision techniques, the system monitors the driver's behavior in real-time and issues alerts when signs of drowsiness are detected.



Key Features:


  • Real-time Monitoring: The system continuously monitors the driver's facial expressions, eye movements, and head position to assess their level of alertness.

  • Drowsiness Detection Algorithms: Utilizing machine learning algorithms, the system can recognize patterns associated with drowsiness, such as frequent blinking, yawning, and changes in head posture.

  • Immediate Alerts: When signs of drowsiness are identified, the system issues immediate alerts to the driver, such as visual warnings, audible alarms, or haptic feedback to prevent potential accidents.

  • Adaptive Sensitivity: The sensitivity of the drowsiness detection can be adjusted based on driving conditions, time of day, and individual driver preferences.



Benefits:


The Drowsiness Detection System contributes significantly to road safety by preventing accidents caused by driver fatigue. It enhances the overall driving experience and reduces the likelihood of accidents due to impaired alertness.

Model Type: Video
Industry Sector: Transport