Driver fatigue monitor with signal output 45km/h start-up speed

Description

One of the main technical goals in the automotive industry is to provide and increase vehicle safety. The
traffic accidents are increasing day by day due to a diminished driver’s vigilance level and it became a serious
problem for the society. By monitoring the fatigue of the driver, the vehicle safety can be improved. Eye detection
is an important initial step in Driver Fatigue Detection System. This feature can be used for developing ‘Driver
fatigue detection system’ by monitoring attention or drowsiness of
the driver. Robust non-intrusive eye tracking is a crucial step for vision based man-machine interaction
technology which is widely accepted in common environments. Eye detection and tracking is an integral part of
attentive user interfaces. To detect human eyes, face has to be detected initially. This is done using Open CV face
Haar-cascade classifier. After obtaining successful face detection, the location of the eyes is estimated and eye
detection is performed using eye haar-cascade classifier. The work aims at development of a driver safety system

with visual aid to prevent accidents. The vehicle is equipped with USB web camera interfaced to the system. Here the

Power input and output

1. Input: 9-36V, LS803 is suitable for both 12V and 24V vehicle, and have good high voltage protection.
2. very lower power consumption, average current less then 100mA in 12V car, and 60mA in 24V car, similar with leakage from the battery, almost does not consume battery power.
3. I/O output, high resistance status under normal status, low voltage output when triggered.
4. Working Temprature: 0-80℃
5. Working Humility: 10%-90%
6. Weigh:108g
7. Demension: 4.5*10.2cm