基于K210和STM32的疲劳驾驶检测系统设计

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中图分类号：U463.6 文献标识码：A 文章编号：1003-8639（2026）01-0122-03

Design of Fatigue Driving Detection System Based on K21O and STM32*

Luo Ying

（Departmentof Computer Information，Suzhou Vocational and Technical College，Suzhou 2341O1，China）

【Abstract】Fatigue driving impairs judgment and responsiveness，causing traffic acidents that threaten personal safety，property，andsocialstability.Thispaperproposesaneficient，low-costreal-time monitoringsystemfordriver fatigue，consisting of an OV2640 camera， K210 AIchip，STM32 microcontrollr，acousto-optic alarm，and OLEDdisplay. The OV2640 captures facial images inreal time.The K210 uses the Histogram of Oriented Gradients （HOG）algorithm for facerecognition，quantifies eyeopening via68 facial keypointsandtheEyeAspectRatio （EAR），andsends results tothe STM32 viaaserialport.TheSTM32asssesfatigue;ifdetected，itriggersthebuzzerandLEDforalarm，withtheOLED displaying results synchronously.Testresultsconfirmthesystem's highaccuracy，rapid response，low power consumption， and controllable cost，making it widely suitable for fatigue detection and real-time driving status early warning

【Key words】STM32;fatigue driving detection;K210 chip

0 引言

随着人民生活水平的提升以及汽车保有量的迅猛增长，疲劳驾驶已成为引发交通事故的主要诱因之一，因此，开发高效可靠的疲劳驾驶监测系统迫在眉睫[2]。（剩余3117字）