The invention discloses an elevator forbidding recognition system and method based on neural network light curtain recognition, and aims to solve the problems that in the prior art, elevator monitoring is prone to being shielded, and single-view recognition monitoring precision is not high. Comprising a first infrared detection module transversely arranged at an entrance of an elevator car and a second infrared detection module longitudinally arranged at the entrance of the elevator car, the first infrared detection module forms a light curtain in the up-down direction, the second infrared detection module forms a light curtain in the left-right direction, and the first infrared detection module and the second infrared detection module generate detection signals; and the identification module is used for receiving the detection signal, extracting blocked port information in the detection signal for identification, and controlling the car control module to act according to an identification result. Automatic detection of objects entering the elevator car is achieved, the height and width of the objects are detected at the same time through the transverse light curtain and the longitudinal light curtain, dynamic recognition of the objects is achieved, and compared with single top detection, the detection effect is better.
本发明公开了一种基于神经网络光幕识别的电梯禁入识别系统及方法,为了克服现有技术的电梯监测存在容易受遮挡,单视角识别监测精度不高的问题。包括:在电梯轿厢入口处横向设置的第一红外检测模块和纵向设置的第二红外检测模块,第一红外检测模块在上下方向上形成光幕,第二红外检测模块在左右方向上形成光幕,第一红外检测模块和第二红外检测模块生成检测信号;识别模块:接收检测信号,提取其中的被挡端口信息进行识别,根据识别结果控制轿厢控制模块动作。实现对进入电梯轿厢物体的自动化检测,由横向光幕和纵向光幕同时检测物体高和宽,实现物体的动态识别,与单一的顶部检测相比具有更好的检测效果。
Elevator forbidding recognition system and method based on neural network light curtain recognition
一种基于神经网络光幕识别的电梯禁入识别系统及方法
2023-10-13
Patent
Elektronische Ressource
Chinesisch
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