The invention relates to an AI algorithm blind area early warning method. The method comprises the following steps: S1, image acquisition and input; S2, image detection of a target object in a road blind area needing early warning; s3, carrying out image tracking on a target object in the early warning area; s4, drawing a line parallel to the early warning area to determine a direction L1; s5, drawing an early warning area to determine an area m; s6, determining the moving direction L2 of the target object; s7, calculating an included angle theta between the L1 and the L2, and judging whether the included angle theta is greater than a threshold value C or not; s8, if the target object passes through the early warning blind area, judging whether the target object is far away from the area m of the current early warning area or is close to the area m of the current early warning area: judging whether the target object is close to or far away from the area m of the current early warning area by comparing position changes of the target object in several continuous frames; if the threshold value that the target object gets close to or away from the early warning area reaches an early warning value, an early warning signal is sent out; and S9, outputting a result.
本发明涉及一种AI算法盲区预警方法。本发明包括如下步骤:S1、图像采集和输入:S2、所需要预警的道路盲区区域目标物的图像检测;S3、预警区域目标物的图像跟踪;S4、画一个和预警区域平行的线确定方向L1;S5、画一个预警区域确定区域m;S6、确定目标物的移动方向L2;S7、计算L1和L2的夹角θ,并判断是否大于一个阈值C;S8、若目标物穿越预警盲区区域,判断其是在当前预警区域的区域m内的远离,还是在当前预警区域的区域m内的靠近:通过比较目标物在连续几帧中的位置变化,可以判断其靠近或远离;若目标物在预警区域内靠近或远离的阈值达到预警值,则发出预警信号;S9、结果输出。
AI algorithm blind area early warning method
AI算法盲区预警方法
2024-08-23
Patent
Electronic Resource
Chinese
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