Method and device for high-sensitively receiving and transmitting integrated infrared detection of driver's fatigue

Abstract

The invention relates to a method and a device for high-sensitively receiving and transmitting integrated infrared detection of driver's fatigue. The method comprises the following steps: emitting an infrared ray by an infrared sensor, detecting eye movement characteristics of a driver through receiving change of infrared light value after irradiating at people's eyes and reflecting; analyzing and calculating the driver's fatigue in driving process according t the relationship analysis between the eye movement and the fatigue. A smart detecting data processing unit receives the driver's eye change characteristic data, environmental light sensitive data and head part behavior data information collected by a fatigue parameter detecting identifying unit; the intelligent detecting data processing unit compares the processed result with the self-studied regular characteristic model of the driver, analyzes and calculates the P80 state value of the driver; when the P80 state value exceeds the safety threshold, the intelligent detection data processing analyzing unit can feedback the information to a back end data center through a Bluetooth communication module, and starts an early / warning / interference method, such as shock, stimulated audio.

Description

technical field [0001] The invention relates to a method and a device for detecting driver fatigue with high-sensitivity transceiver-integrated infrared sensors. Specifically, a high-sensitivity transceiver-integrated infrared sensor is used to emit infrared light, and the change in the value of infrared light reflected by the human eye is received by receiving it. To detect the driver's eye movement characteristics, analyze and calculate the driver's fatigue method during driving according to the relationship between eye movement and fatigue, and implement a wearable device based on this method. Background technique [0002] With the development of society and economy, the number of motor vehicles is increasing day by day, and the accompanying personal safety has attracted more and more people's attention. Recent studies have shown that 25 to 30% of the causes of automobile collisions are caused by driving fatigue. Driving fatigue can affect a driver's ability to be alert ...

AI Technical Summary

Problems solved by technology

[0004] Among the many technologies for driver fatigue detection and early warning at home and abroad, the technology of judging fatigue based on eye movement analysis is the most popular and has the best effect, while the research and development of this technology at home and abroad are based on the real-time collection of human facial images by cameras, and then Image analysis is performed by DSP to judge eye characteristics, namely the blink frequency and the area covered by eyelids, and the fatigue state of people is analyzed according to p80 and threshold. Although this technology has been verified and applied, due to the large amount of data for image processing and analysis Moreover, the processing results are also different due to the influence of external light. At the same time, the hardware configuration required for high-speed analysis is relatively high, and the price is relatively expensive, so it is difficult to invest in the mass market.

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