Elevator door repeated opening and closing detection method and system based on computer visual technology

Abstract

The invention discloses an elevator door repeated opening and closing detection method and system based on the computer visual technology. The elevator door repeated opening and closing detection method based on the computer visual technology comprises the following steps that a marker is pasted on the higher position of an elevator door; the marker is detected, and an elevator door image is collected to carry out door state analysis; according to the transmitted detection area, on an image gray channel, under the state that the door is completely closed, a background template is registered, the difference between a current frame column diagram at the current frame and a registered background frame column diagram at the registered background frame is subsequently and continuously calculated, and the opening and closing state of the door is judged; and through receiving each frame of door state type, and in combination with time domain statistics, whether the phenomenon of repeated dooropening and closing appears in a current elevator is analyzed, and a corresponding alarm signal is output.

Description

technical field [0001] The invention belongs to the technical field of elevator safety, and in particular relates to a method and system for detecting repeated opening and closing of elevator doors based on computer vision technology. Background technique [0002] Elevator is an important means of transportation in the city, and its operation safety is a problem that cannot be ignored. When the contactor on the elevator door is damaged, the elevator will open and close the door repeatedly within a unit time, and there is a risk that the elderly and weak passengers will be caught when entering and exiting the door or the door will open and fall when the elevator is running. [0003] The Chinese invention patent application with the publication number CN106204659A discloses a method for detecting the opening and closing of elevator doors based on optical flow, which specifically includes the following steps: (1) Select the alarm label on the elevator door as the region of inte...

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Problems solved by technology

[0004] The technical solution implemented above has the following problems: (1) It is necessary to extract corner points from the four sub-regions of the region of interest at the same time, and perform optical flow tracking respectively, and count the direction of motion. The whole process is slightly cumbersome and requires a large amount of calculation; (2 ) Using optical flow to track corners, which is a local image feature detection method, is greatly affected by changes in external light. Once the light changes in the elevator car itself, or the external light interference caused by opening and closing doors, the tracking algorithm will fail; (3 ) This method only considers detecting the door state of a single frame, and does not consider the relationship between the door state change and the elevator door sensor within a period of time, and does not infer the elevator hardware damage and operation risk through the door state change

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