The Driver Alertness System is an intelligent web application designed to monitor and improve driver safety by tracking their alertness. Through real-time webcam input and advanced gaze detection, the system can detect signs of drowsiness or distractions, such as looking at a phone, and warn the driver when their focus is compromised. With WebRTC for video streaming and WebSockets for real-time data transmission, the system ensures a seamless and responsive experience.
- Real-Time Monitoring: Detects the driver’s gaze direction in real time (forward, eyes closed, or looking down at a phone).
- Alert System: Issues warnings when the driver shows signs of drowsiness (eyes closed) or distraction (looking down).
- Session Timer: Tracks the duration of the driving session and warns if the driver has been on the road too long.
- WebRTC & WebSocket Integration: Ensures real-time video streaming and data exchange between the front-end and server.
- Audio Alerts: Provides audio cues for critical warnings, alerting the driver to stay focused.
- Alertness Score: A calculated score based on the driver's attention and behavior, offering quick feedback on alertness.
- A webcam with video capture support.
- A modern web browser (e.g., Google Chrome, Mozilla Firefox) supporting WebRTC.
- An active internet connection for WebSocket communication.
First, clone the repository to your local machine:
git clone https://github.com/yourusername/driver-alertness-system.git
cd driver-alertness-systemMake sure you have Node.js installed. Then, run the following command to install the required dependencies:
npm installLaunch the application in development mode:
npm run devEnsure that the WebSocket server is running locally or remotely. Update the WebSocket server URL in the code to match your configuration.
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Driver Monitoring:
- The webcam feed captures the driver’s face, analyzing their gaze direction.
- Forward: The driver is looking straight ahead.
- Eyes Closed: Detected when the driver’s eyes are closed for a specified period.
- Looking Down: Identifies when the driver is looking down, potentially at their phone.
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Alert System:
- Drowsiness Alert: If the driver’s eyes remain closed for more than 3 seconds, a drowsiness alert is triggered.
- Distraction Alert: If the driver looks down (e.g., at their phone) for more than 2 seconds, a distraction alert is issued.
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Real-Time Feedback:
- The system continuously updates the driver’s alertness status in real time, showing the alertness score and session time.
- Alertness Score: A value calculated based on the occurrence of events like eyes closed or phone usage.
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Safety Tips:
- Displays reminders to encourage safe driving practices, such as taking breaks and staying alert.
For testing purposes, you can simulate different driver behaviors using the following keyboard shortcuts:
- F: Simulate the driver looking forward.
- C: Simulate eyes closed (to simulate drowsiness).
- D: Simulate looking down (to simulate checking a phone).
- N: Simulate no detection (driver not visible).
These shortcuts allow you to manually test how the system responds to various scenarios.
- Video Feed: Displays the webcam feed along with the detected gaze direction.
- Alert Level: A visual indicator (Normal, Warning) based on the driver’s attention.
- Session Time: Tracks the time elapsed since the start of the driving session.
- Alertness Score: Reflects the driver's overall alertness based on detected behaviors.
- Safety Tips: Displays helpful driving reminders to reduce the risk of accidents.
- Advanced Gaze Tracking: Enhance the gaze detection algorithm for better accuracy.
- Fatigue Detection: Incorporate additional signals like blink rate and head nods to detect fatigue more reliably.
- Mobile App Integration: Develop a mobile version of the system to make it accessible on smartphones and tablets.
- Driver Profile: Create customizable profiles to track individual driver patterns over time.
This project is licensed under the MIT License. See the LICENSE file for more details.
Feel free to contribute, report issues, or suggest new features by opening an issue or pull request!