Infrared human face identification system and method

Abstract

The invention discloses an infrared human face identification system and method. The system comprises a visible light sensor, an infrared sensor, an infrared lamp, a camera, a microprocessor an alarmsystem; the visible light sensor, the infrared sensor, the infrared lamp and the camera are mounted in a position directly facing the face of a driver in a vehicle; the visible light sensor is connected with the microprocessor and used for sensing the intensity of visible light; the infrared sensor is connected with the microprocessor and used for performing color correction on an infrared human face image and performing detection on a human face temperature feature; the infrared lamp is connected with the microprocessor and used for illuminating the face of the driver by using infrared rays;the camera is connected with the microprocessor and used for shooting a human face feature image of the driver; and the alarm system is connected with the microprocessor and used for giving an alarm when fatigue driving or body temperature anomaly occurs. According to the infrared human face identification system and method, the misjudgment probability can be reduced; and whether the driver is infatigue driving or body state anomaly can be accurately judged.

Description

technical field [0001] The invention relates to the field of fatigue driving detection, in particular to an infrared face recognition system and a recognition method. Background technique [0002] At present, there are some fatigue driving detection systems in the world, and there are mainly two implementation methods. The first way is to monitor the camera screen, analyze the captured images of the driver, and use information such as the driver’s facial features, eye signals, and head movement to determine whether the driver is driving fatigued. However, there are certain problems in this method, because most of the fatigue driving conditions occur at night. Due to insufficient light, the camera's shooting picture is not clear enough, and this recognition method is prone to misjudgment. [0003] Another way is to record the driver's driving behavior from the beginning of driving during the driver's driving, and then judge the driver's fatigue degree by identifying the chan...

AI Technical Summary

Problems solved by technology

In daily life, in addition to the driving hazard of fatigue driving, the driver's sudden illness is also a great safety hazard, and these methods only have the function of detecting fatigue driving, ignoring the safety hazard of the driver's poor physical condition, and cannot judge Whether the driver will have sudden physical conditions and other problems

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