Driver Alert System

6000 ~~10000~~

You Save 40% (Inclusive of all taxes)

Product Name: Driver Alert System
Version: 1.0
Platform: Python 3.x
Hardware Requirements:
- Camera Module (for driver monitoring)
- Raspberry Pi or similar single-board computer
- Display Screen
- Buzzer or Alarm System
Software Requirements:
- Python 3.x
- OpenCV library for image processing
- Dlib library for facial landmark detection
- Numpy library
- Imutils library
Functional Requirements:
- Real-time monitoring of the driver’s face
- Detection of drowsiness and distraction
- Alert system (sound and visual) for driver attention
Non-functional Requirements:
- High accuracy in detecting drowsiness and distraction
- Low latency in processing and alerting
- User-friendly interface
- Robustness and reliability in various lighting conditions

Qty

Key Features:

Real-time Monitoring:
- The system continuously captures video frames of the driver’s face using a camera module.
- The captured frames are processed in real-time to detect facial landmarks and eye state.
Drowsiness Detection:
- The system employs algorithms to detect closed eyes over a series of frames.
- If the eyes remain closed for a specified duration, the system identifies the driver as drowsy.
- An alert is triggered to wake the driver.
Distraction Detection:
- The system tracks the driver’s head movements and gaze direction.
- If the driver’s head is turned away from the road for too long, the system identifies this as a distraction.
- An alert is triggered to remind the driver to stay focused.
Alert Mechanism:
- Upon detecting drowsiness or distraction, the system activates a buzzer and displays a warning message on the screen.
- The alert continues until the driver regains alertness.