Real-time driving fatigue detecting system based on Internet of Vehicles

Abstract

The invention discloses a real-time driving fatigue detecting system based on Internet of Vehicles. The system comprises a vehicle speed detection unit, a GPS positioning unit, a fatigue driving electroencephalogram detection unit, an intelligent terminal unit, a driver alarm unit and a forced alarm execution unit, the vehicle speed detection unit collects vehicle speed information in real time, the GPS positioning unit updates vehicle location information in real time, the fatigue driving detection unit collects fatigue degree data information of a driver in real time, and the signal output end of the vehicle speed detection unit, the signal output end of the GPS positioning unit and the signal output end of the fatigue driving detection unit are connected with the signal input end of the intelligent terminal unit through a wireless transmission mode; the signal output end of the intelligent terminal unit is connected with the signal input end of the driver alarm unit, and the signal output end of the driver alarm unit is connected with the signal input end of the forced alarm execution unit. The real-time driving fatigue detecting system has the advantages of being small in size, low in cost, simple to use, convenient to carry, accurate in fatigue detection and the like.

Description

technical field [0001] The invention is used for detecting the driver's fatigue state, and in particular relates to a real-time driving fatigue detection system based on the Internet of Vehicles. Background technique [0002] With the rapid development of the modern transportation industry, traffic accidents have become a serious problem facing the world. It is of great practical significance to study how to effectively prevent and monitor the driver's fatigue driving state. Fatigue driving refers to the phenomenon that the driver's driving skills decline objectively due to the imbalance of physiological and psychological functions caused by the driver's continuous driving for a long time. [0003] At present, driver fatigue detection technology can generally be divided into subjective detection and objective detection. Subjective detection is the fatigue assessment performed by oneself or others by subjectively recording the driver's driving record. Objective monitoring is...

AI Technical Summary

Problems solved by technology

[0004] Based on the currently recognized existing technology, this patent researches and develops a system for real-time detection of driving fatigue and early warning for drivers based on the Internet of Vehicles, which overcomes the large brain-computer interface equipment in the current driving field fatigue detection system. , high cost, can not be widely used in practical shortcomings

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