How Can I Avoid Driver Fatigue?

The Driver Fatigue Monitor System is a driver fatigue monitoring and warning product based on the physiological response characteristics of the driver. At present, there is only DD850 launched by Attention Technologies in the United States, and the AntiSleep system launched by SmartEye in Sweden has been commercialized. , Mercedes-Benz, Volvo's high-end car series and Japan's Toyota 13-generation Crown sold in Japan are also equipped with a doze alarm system as standard.

Driving fatigue warning system

The Driver Fatigue Monitor System is a driver fatigue monitoring and warning product based on the physiological response characteristics of the driver. At present, there is only DD850 launched by Attention Technologies in the United States, and the AntiSleep system launched by SmartEye in Sweden has been commercialized. , Mercedes-Benz, Volvo's high-end car series and Japan's Toyota 13-generation Crown sold in Japan are also equipped with a doze alarm system as standard.

Chinese name

Driving fatigue warning system

Foreign name

Driver Fatigue Monitor System

Category

Driver fatigue monitoring and early warning products

Application country

United States, Sweden

Driver fatigue detection system implementation principle:

In-car driver fatigue monitoring technology is essentially a technology that captures and analyzes the driver's biological behavior information during driving, such as eyes, face, heart, EEG activity, and so on. However, due to contact restrictions, heartbeat activity and EEG monitoring have not been applied in batches in vehicles at present. At present, the most commonly used fatigue detection method is driver's driving behavior analysis, that is, by recording and analyzing behavior characteristics such as the driver turning the steering wheel and pressing the brakes, it is determined whether the driver is fatigued. However, this method is greatly affected by the driving habits of the driver. Another major category of detection methods is: fatigue assessment of driver's face and eye features through image analysis. This method is gradually accepted and adopted by vehicle manufacturers.

Domestic products to prevent fatigue driving:

1. Hanging ear type fatigue warning device, the function is very simple, lowering the head to report the alarm, but considering that dozing does not necessarily lower the head, and the lowering feature caused by dormancy appears relatively late, the driver does not like wearing an add-on when driving , So the practicality of this type of product is poor.

2. Watch type and glasses type. Watch type uses the pulse of the pulse to estimate whether people are tired. There is no authoritative scientific basis and cannot solve the problem of falling asleep suddenly. Glasses type is to force a pair of heavy glasses to judge blinking. Frequency, basically many people are not used to it, in fact, the blink frequency is not directly related to fatigue.

3. The steering wheel is touch-sensitive, and some sensors are installed on the steering wheel to sense whether the driver is holding the steering wheel. This is actually not directly related to fatigue. Some people are asleep, and it is difficult for you to remove things from him. Wait. It is estimated that the alarm has already been hung up before the relaxation. It is far-fetched, and the installation of sensors will make the steering wheel operation inconvenient.

4, image recognition type, using the image sensor to capture the driver's face, through facial feature recognition, to determine the degree of driver fatigue.

Foreign products to prevent fatigue driving:

1. The DD850 of the American ATTENTION company has been promoted throughout the United States through the United States Department of Transportation and has participated in the bidding for the fatigue driving early warning system of the Anjiating Coal Mine.

2. Fatigue detection and analysis system of DSS in the United States.

3. Mercedes-Benz and Volvo's high-end products (more than 2 million) have dormancy reminders.

4. Toyota's 13th generation Crown has a snooze alarm system in Japan, but it is not standard in China.

For most people, it is still subjective thinking and consciousness to judge emergencies during the driving process. With the frequent occurrence of safety accidents, safety concepts have attracted much attention. Digitalization has been used as the mainstream of automotive safety monitoring systems. Much discussion in the industry.

According to incomplete statistics, 50% of traffic safety accidents originated from unconscious drivers and caused car accidents. Imagine if there is a detection system that can be based on the Internet of Things, that is: detecting whether the driver is conscious and giving a warning to prevent safety accidents in advance? The answer is yes. At present, the industry has adopted the Internet of Things digital technology to realize the driver's mental state detection system, which is based on the application of the Internet of Vehicles to meet the new requirements of driving safety detection. This digital system uses a multi-attitude face detection method that incorporates attitude information, a biometric-based head posture estimation method, and a driver's own fatigue driving model that integrates multiple biological characteristics, which will greatly improve the accuracy of fatigue driving detection. And reliability.

The working principle of this type of digital system is to detect and measure the geometric characteristics and movement characteristics of the human eyelid and eyeball, the gaze angle of the eye and its dynamic changes, and the changes in head position and direction through visual sensors to establish the driver's eyes. The model of the relationship between head characteristics and fatigue state, studying the multi-parameter comprehensive description method of fatigue state; meanwhile, researching the fast fusion method of multiple information to improve the reliability and accuracy of fatigue detection, so as to develop a stable and reliable driver fatigue monitoring system . It detects many methods, such as: rapid face detection method, fatigue level detection method, fatigue driving problem detection, and so on.

At present, there are many domestic automotive safety digital service providers, but developing a visual fatigue detection system based on the Internet of Things. Wuhan Huaxin Data System Co., Ltd. for the first time fills in the gaps in the domestic automotive vehicle-based driver fatigue detection system and cooperates with many well-known cars Manufacturers cooperate. The safety and security of the automobile industry is always a constant topic. Only thinking what customers think and conforming to the development of the automobile industry is the Hongyuan concept of the future development of the automobile industry!