Driving safety multi-dimensional intelligent recognition and prediction warning system

Through a multi-dimensional intelligent recognition system that combines contact and image recognition, the driver's fatigue status can be detected in real time, solving the problem that the existing system cannot detect in all directions, achieving accurate prediction and warning of driver fatigue, and improving driving safety.

CN114987499BActive Publication Date: 2025-09-30SHENZHEN MEILIGAO ELECTRONICS
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Patent Information

Application Number
CN202210600400.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-05-30
Publication Date
2025-09-30
Estimated Expiration
2042-05-30

AI Technical Summary

Technical Problem

The existing fatigue driving identification system cannot fully detect whether the driver is fatigued, and there are misjudgments and additional burdens, which affect driving safety.

Method used

The driving safety multi-dimensional intelligent recognition and prediction warning system adopts a combination of contact recognition units and image recognition units. Through components such as neck hanging bracket, pressure sensor, pulse sensor, distance sensor and infrared camera, it detects the driver's fatigue state in real time, and calculates fatigue indicators with PERCLOS and MAR algorithms to achieve multi-dimensional prediction and warning.

Benefits of technology

It realizes all-round and thorough detection of the driver's fatigue state, makes predictions and gives warnings in advance, reduces the safety hazards caused by fatigue driving, and improves driving safety.

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Abstract

The present invention discloses a multi-dimensional intelligent recognition and prejudgment warning system for driving safety, comprising a first processor, a contact recognition unit, a first storage module, a second processor, an image recognition unit, a second storage module and an early warning unit, wherein the contact recognition unit comprises a neck hanger, a pressure sensor, a pulse sensor and a pulse massage module; the pressure sensor, the pulse sensor, the pulse massage module and the first storage module are respectively connected to the first processor; the image recognition unit comprises an infrared camera, a voice module and a display screen, the infrared camera, the voice module, the display screen and the second storage module are respectively connected to the second processor, and the early warning unit is respectively connected to the first processor and the second processor. Therefore, by connecting the two recognition units to the early warning unit respectively, physical contact recognition and image simulation recognition are combined, the driver's fatigue state is fully detected without omission, prejudgment and warning are made in advance, and driving safety is improved.
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