The invention relates to an elevator foreign matter detection method and system, a computer storage medium and an elevator, relates to the technical field of elevator safety, and solves the problem that in the using process of infrared rays, people or objects on the same straight line are generally detected, meanwhile the using number of infrared ray emitters and receivers is limited, therefore, once a person stretches feet to an elevator door or a dog rope exists, the situation may not be detected, and the door is directly closed, so that the safety problem is caused. The method comprises the steps that obstacle information is matched from a preset obstacle model according to the current image information; and the elevator door is controlled to be opened or kept open according to the obstacle information. According to the method, a neural network algorithm is used for learning whether foreign matter samples exist in a large number of elevator door core areas or not to obtain a dichotomy model, the model is used for correctly predicting new samples, and therefore the protection function of the elevator core areas is achieved.
本发明涉及一种电梯异物检测方法、系统、计算机存储介质、电梯,涉及电梯安全的技术领域,解决了红外线在使用的过程中,通常第对一条直线上的人或物进行检测,同时红外线发射器和接收器的使用数量有限,因此,一旦有人伸脚到电梯门或者有狗绳的情况下,可能会检测不到,直接关门会导致安全问题;根据当前图像信息从预先设置的障碍模型中匹配出障碍信息;根据障碍信息以控制电梯门的开启或保持开启。本发明运用神经网络算法对大量电梯门核心区域有无异物样本进行学习得到一个二分类模型,并用该模型对新的样本进行正确预测,从而实现电梯核心区域的保护功能。
Elevator foreign matter detection method and system, computer storage medium and elevator
一种电梯异物检测方法、系统、计算机存储介质、电梯
2021-05-28
Patent
Electronic Resource
Chinese
IPC: | B66B Aufzüge , ELEVATORS |
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