Fatigue driving detecting system and method based on human eye and wheel path characteristics

Abstract

The invention discloses a fatigue driving detecting system based on human eye and wheel path characteristics. The system comprises a vehicle terminal information processing module, a GPS (Global Position System) module, a wireless communication module and a vehicle monitoring management center, wherein the vehicle terminal information processing module comprises a CCD (Charge Couple Device) camera image acquisition module, data storage equipment, an alarm module and an embedded microprocessor; the vehicle terminal information processing module is located inside a vehicle and is used together with the GPS module for the information collection and processing of a terminal; the processed information exchanges data with the vehicle monitoring management center by the wireless communication module so as to realize the remote control on the vehicle terminal by the vehicle monitoring management center. The invention also relates to a fatigue driving detecting method based on human eye and wheel path characteristics. The method comprises eye state real-time monitoring, image conversion, wheel path judgment and skin color sampling. The modular design is adopted, the structure is simple, the anti-jamming capacity is strong, the applicability is wide, the GPS wheel path characteristic detection is added, and double precautions against fatigue driving are realized.

Description

technical field [0001] The invention relates to the technical field of fatigue driving detection, in particular to a fatigue driving detection system and method based on human eyes and driving trajectory characteristics. Background technique [0002] With the increasing development of traffic and the rising of automobile consumption, the problem of fatigue driving of drivers, especially professional drivers, has begun to attract attention, because fatigue driving is one of the main causes of vicious traffic accidents. According to relevant statistics, more than 70% of traffic accidents in my country involve fatigue driving. There are different methods for fatigue driving. In summary, it is to use sensors to feed back the driver's driving actions, and to take effective measures immediately when abnormalities are found. For example, the SAM fatigue driving alarm system developed by DigitalInstallations in the United States uses the magnetic strip placed under the steering whe...

AI Technical Summary

Problems solved by technology

[0003] At present, the more commonly used fatigue driving detection systems use the analysis of facial expressions and eye status information for monitoring. Although this system can effectively monitor or solve fatigue driving, due to the different facial features of individuals , coupled with the errors caused by the information collection method, this type of fatigue driving detection system cannot make accurate judgments on fatigue driving in detail, and there will also be misjudgments or misjudgments.

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