Intelligent vehicle-mounted fatigue monitoring system and method

Abstract

The invention provides an intelligent vehicle-mounted fatigue monitoring system and method, and relates to the field of vehicle safety. The intelligent vehicle-mounted fatigue monitoring system is characterized by comprising a vehicle-mounted end, a cloud end, a user moving end and a supervising end; the vehicle-mounted end comprises a video acquisition module, a code processing module, an arithmetic treatment module, a sensor system, a central processing unit and an operation interface; the cloud end comprises a data transmission device, a cloud end data receiving device and a cloud end processor; the supervising end comprises a supervision department data transmission device and a supervision department processor; the user moving end comprises a moving end data transmission module and a moving end operation interface. The intelligent vehicle-mounted fatigue monitoring system provided by the invention has the advantages that the monitoring is accurate and reliable, a big data analyzing and supervising function is achieved, the traditional arithmetic is improved, and arithmetic trap is avoided.

Description

technical field [0001] The invention relates to the field of automobile safety, in particular to an intelligent vehicle fatigue monitoring system and method. Background technique [0002] How to provide an effective and practical safety driving assistance system for the driver is an important issue for safe driving of vehicles. The fatigue driving detection technology based on machine vision has been extensively studied at home and abroad, among which the detection of driver's eye features is the most extensive. [0003] When driving daily, we will encounter too little sleep time and poor sleep quality the day before; road conditions are so good that the road conditions are monotonous; encountering wind, sand, rain, fog, and snow weather conditions; driving for a long time and long distance; driving too fast or too slow; there is a time limit to reach the destination, etc., these will be the factors that induce your fatigue driving, and even the vehicle itself or the noise ...

AI Technical Summary

Problems solved by technology

[0006] 1. Inaccurate monitoring: Existing fatigue monitoring systems either use sensors for monitoring or use simple image processing

Both of these often have certain defects, which often lead to inaccurate monitoring results, resulting in very inaccurate monitoring results, resulting in false alarms

[0007] 2. Lack of big data analysis: Since many drivers' fatigue driving is a long-term process, if there is no long-term analysis for drivers

There is also a lack of third-party supervision and management of drivers, resulting in many long-term fatigue drivers not being alerted, and thus unable to prevent problems before they happen

[0008] 3. Backward algorithms: Most of the existing fatigue monitoring systems use old image algorithms

However, due to the great difference between fatigue monitoring and ordinary image recognition

If the old algorithm is used blindly, it will directly lead to inaccurate monitoring results and complex algorithms, and the processing is very slow

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