The invention belongs to the technical field of artificial intelligence early warning, and discloses an artificial intelligence early warning method, which comprises the following steps of: (1) acquiring camera data in a vehicle; (2) accessing a trip computer memory interface and acquiring vehicle operation data; (3) the system judges whether the average speed per hour of the vehicle exceeds a speed threshold value K or not, and if yes, it is judged that the vehicle is located on the expressway. Based on artificial intelligence, multi-aspect calculation is carried out according to vehicle operation data to obtain a speed threshold value K, different early warning modes are switched by judging the form environment of the vehicle, actually, secondary calculation and summarization are carried out on the vehicle operation data, the fatigue degree of a driver is judged according to the controlled state of the vehicle, and the driving safety is improved. Therefore, the accuracy and the high efficiency of driver fatigue early warning are effectively improved, meanwhile, the method can adapt to all road sections including expressways, and early warning is provided in time.
本发明属于人工智能预警技术领域,且公开了一种人工智能预警方法,包括下列步骤:(一)、获取车内摄像头数据;(二)、接入行车电脑存储器接口并获取车辆运行数据;(三)、系统判断车辆的平均时速是否超过速度阈值K,若超过K则判定车辆处于高速公路上。本发明基于人工智能,并依据车辆运行数据进行多方面计算得出速度阈值K,通过判断车辆的形式环境来切换不同的预警模式,实际上,本发明中对车辆的运行数据进行二次计算和总结,从车辆被控制的状态来判断驾驶员的疲劳程度,从而有效提高了对驾驶员疲劳预警的准确性和高效性,同时能够适应包括高速在内的所有路段,并及时提供预警。
Artificial intelligence early warning method and system
一种人工智能预警方法及系统
2023-09-19
Patent
Electronic Resource
Chinese
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