The invention relates to an abnormal behavior analysis method and system in an elevator car monitoring environment, and the method comprises the steps: collecting an elevator entrance image and an image in an elevator car, and carrying out the preprocessing of the images; the images obtained through preprocessing are input into a smoking detection model, recognition detection is carried out, a detection result of normal behaviors or abnormal behaviors is obtained, and the smoking detection model is obtained through training with smoking images as a training set based on a deep learning model; and pushing a reminding command in response to the fact that the detection result is an abnormal behavior. According to the method, the behavior image of the elevator entrance is collected, the voice reminding command is output according to the smoking behavior of the elevator entrance, the phenomenon that passengers take the elevator with the lighted cigarettes is reduced, the video image in the elevator car is collected, the manual reminding command is output according to the smoking behavior in the elevator car, and then the smoked passengers are reminded to extinguish the cigarettes in real time through property management personnel. Therefore, the two modes are combined to enhance the management effect of the smoking behavior in the elevator car.
本发明涉及一种电梯轿厢监控环境下异常行为分析方法及系统,该方法包括:采集电梯口图像及轿厢内图像,并对图像进行预处理;将预处理得到的图像输入抽烟检测模型,进行识别检测,获得正常行为或异常行为的检测结果,所述抽烟检测模型为基于深度学习模型,以抽烟图像作为训练集训练得到的;响应于所述检测结果为异常行为,推送提醒命令。本发明通过采集电梯口的行为图像,根据电梯口的抽烟行为输出语音提醒命令,减少乘客携带点燃的香烟乘梯的现象,结合采集轿厢内的视频图像,根据轿厢内的抽烟行为输出人工提醒命令,进而通过物业人员实时提醒抽烟乘客灭烟,使得提醒行为更具有针对性,从而两种方式相结合以增强对电梯轿厢内抽烟行为的管理效果。
Abnormal behavior analysis method and system in elevator car monitoring environment
电梯轿厢监控环境下异常行为分析方法及系统
2024-07-12
Patent
Electronic Resource
Chinese
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