An anti-cheating drunk driving locking system based on near-infrared spectrum correlation model and vision

Abstract

The invention discloses a near-infrared spectrum correlation model and visual anti-cheating drunk driving blocking system. Including a near-infrared spectrum detection system and a machine vision anti-cheating system; the near-infrared spectrum detection system detects the driver's blood alcohol concentration; the machine vision anti-cheating system recognizes and judges whether the driver has touched a BAC (blood alcohol concentration) sensor, That is whether cheating; the drunk driving locking system judges whether the driver is drunk driving according to the logic judgment of the alcohol concentration and whether the driver is cheating. The invention is applied to automobiles, can greatly reduce the occurrence of drunk driving, improve traffic safety, and provide better user experience for users.

Description

technical field [0001] The invention relates to the field of driving safety, in particular to a near-infrared spectral correlation model and a visual cheating prevention and drink-driving locking system. Background technique [0002] Studies have shown that drunk driving causes 15 times more accidents than non-drinking drivers, and drinking and driving has been recognized by governments and people as the most dangerous factor in traffic accidents. Many countries have paid attention to the prevention and punishment of drunk driving from a very early age. In recent years, the Chinese government has also included drunk driving into the criminal law. According to the national standard, alcohol content of more than 20 mg and less than 80 mg per 100 ml of blood is defined as drunk driving, and greater than or equal to 80 mg is defined as drunk driving. Drunk driving can lead to fatigue and decreased tactile ability, decreased judgment and reaction skills, and psychological impair...

AI Technical Summary

Problems solved by technology

However, the detection methods they use are all breathing methods. The breathing method for detecting blood alcohol concentration has low accuracy and poor user experience. Every time the vehicle is started, an additional exhalation operation is required. It is difficult to require a home Before the car starts, the driver needs to take a deep breath and exhale for more than three seconds

In addition, the ability to prevent cheating is poor

This kind of drunk driving locking system has almost no anti-cheating ability, and it is completely impossible to prevent other passengers from replacing the driver or directly using the balloon to test the alcohol content

There is an alcohol detection method, but the detection method based on body fluids is expensive, and the vehicle cannot be locked, the degree of automation is low, and it is difficult to curb drunk driving

There is a voice recognition method to identify whether the driver is drunk driving. This method is difficult to accurately identify whether the driver is a driver, and it is difficult to effectively prevent the occurrence of drunk driving incidents. Moreover, after the voice of the drunk driver changes, it cannot be recognized at all.

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