Anti-fatigue safe driving method for vehicles based on big data

Abstract

The invention relates to the technical field of intelligent driving, in particular to an anti-fatigue safe driving method for vehicles based on big data. A driver identity identification anti-theft function, a driver biological monitoring technology, a vehicle driving state monitoring technology, a big data synchronization processing technology, an early warning reminding function and an assisteddriving function are integrated together. The driver and vehicle driving state monitoring can be simultaneously performed, and whether the driver is tired or asleep or not is comprehensively judged based on the state of the driver and the vehicle. In the case of fatigue driving or sleeping driving of the driver, after comprehensive comparison judgment of the big data processing, the early warningreminding function is opened and the intelligent assisted driving function is turned on to prevent human error from causing a fatal vehicle crash. All the driving data can be saved to the cloud in synchronization, and when the driver drives other vehicles, the previous driving data of the driver is downloaded to the current vehicle for synchronization.

Description

technical field [0001] The invention relates to the technical field of intelligent driving, in particular to a method for anti-fatigue safe driving of vehicles based on big data. Background technique [0002] There are already a variety of driver fatigue monitoring systems implemented by cameras on the market, such as the driver visual tracking system developed by Australia Seeing Machine Company, in which the driver state sensor (DriverState Sensor) judges the driver's fatigue by analyzing the driver's blinking pattern. Are you driving fatigued? [0003] DDDS (The Drowsy Driver Detection System) is a driver fatigue detection system developed by Johns Hopkins University in the United States. It records the driver's actions and speed by sending and receiving wireless signals sent by Doppler radar, including nodding, Eyelid blinking, even breathing, etc. to judge the driver's mental state. DDDS is characterized by non-contact real-time collection of driver's eyelid blinking,...

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a method for anti-fatigue safe driving of vehicles based on big data. The technical problem to be solved is that the existing driver fatigue monitoring system cannot perform authority authentication on the driver, and cannot combine the driver's mental state, vehicle driving parameters, Big data cloud storage guarantees the safety of people and vehicles, and lacks a perfect, accurate, and safe driving method with a high safety factor

Images