The crane operator fatigue and distraction warning system utilizes intelligent cameras to monitor the cab in real-time. It employs image processing algorithms to analyze the video feed frame-by-frame, instantly identifying the driver's facial state, body posture, and actions such as using a mobile phone or handling objects. Through logical analysis and rule-based algorithms, the system detects signs of fatigue or abnormal behaviors—like making phone calls—and automatically issues an alert (an alarm is triggered only when an abnormal action persists for 3 to 5 seconds).
This warning system offers five key advantages:
1. High practicality; it does not interfere with the driver's normal work. Once installed, the device remains silent during routine operation and only issues an alert when an abnormal state is detected.
2. Features a specialized infrared camera for facial recognition, characterized by a wide field of view, a compact design, and reliable performance.
3. High detection accuracy and rapid feedback. It utilizes a lightweight convolutional neural network to quickly extract data regarding the driver's facial features and body posture.
4. Modular design; the unit can operate independently or be integrated into a larger system.
5. Easy installation and simple operation.