Drowsiness Detection System Development
Budget: ₹600 – ₹1,500 INR
I need a driver drowsiness detection system using CNN-LSTM, OpenCV, Python, and Mediapipe on a Raspberry Pi. The system will analyze pre-recorded video to detect drowsiness indicators such as eye closure duration, head nodding, and yawning frequency. Upon detecting drowsiness, it should sound an alarm.
Key Requirements:
- Utilize pre-recorded video for analysis
- Detect multiple drowsiness indicators
- Sound an alarm upon detection
Ideal Skills and Experience:
- Proficiency in Python, OpenCV, and Mediapipe
- Experience with CNN-LSTM models
- Familiarity with Raspberry Pi integration
- Knowledge in video processing and real-time alert systems
Please provide relevant project experience with your bid.
Key Requirements:
- Utilize pre-recorded video for analysis
- Detect multiple drowsiness indicators
- Sound an alarm upon detection
Ideal Skills and Experience:
- Proficiency in Python, OpenCV, and Mediapipe
- Experience with CNN-LSTM models
- Familiarity with Raspberry Pi integration
- Knowledge in video processing and real-time alert systems
Please provide relevant project experience with your bid.