The Intelligent Driving Safety Detection System Based on Harmony OS

With the development of urbanization, the scale of the driver population continues to expand, leading to a yearly increase in the number of traffic accidents. Among these, the proportion of accidents caused by drivers' physical abnormalities remains persistently high. This paper integrates various detection technologies related to physiological states and presents the design of an intelligent driving safety monitoring system based on Harmony OS. The system collects dynamic characteristic data of the driver through a combination of a smart wristband and an in-vehicle camera, enabling real-time monitoring and analysis of the driver's physiological condition. Additionally, a physiological state recording application based on the Harmony OS is designed, which can interconnect and operate with the wristband and intelligent terminals. After the collected physiological state data of the driver undergoes data conversion and processing, a detection model based on the K-means algorithm is employed to calculate the variance of the driver's physiological parameter changes in real time. This model intelligently determines whether the driver is fit to continue driving under the current conditions. Subsequently, The driver's status information is displayed on both the in-vehicle intelligent terminal interface and the application, providing timely warnings to reduce traffic accidents caused by abnormal physical states. Meanwhile, the warning information is transmitted to the drivers of the adjacent vehicles via vehicle-to-vehicle communication, thereby preventing the occurrence of risk-related accidents. And ensuring the protection of the driver’s life and property.