Escalator entrance-exit congestion detection system and method

Abstract

The invention discloses an escalator entrance-exit congestion detection system which comprises a depth image acquisition unit, an entrance-exit congestion analysis unit, an alarm logic unit, a multimedia prompting unit and a ladder control unit. The invention further provides an escalator entrance-exit congestion detection method which includes the steps: acquiring an escalator entrance-exit depthimage; processing and analyzing depth image information, preprocessing the image, building a depth image background, performing difference and binarization on the background, performing morphology processing on a binary image, counting a prospect scale value in a monitoring area, and calculating a congestion degree value; analyzing the congestion degree value, and taking corresponding strategiesaccording to the congestion degree value. By the method, escalator entrance-exit congestion is more accurately detected, measures can be timely taken, so that passengers on the scene are guided, the running speed of an escalator can be timely adjusted, safety is higher, and negative effects are avoided.

Description

technical field [0001] The invention belongs to the technical field of congestion detection at escalator entrances, and in particular relates to a system and method for detection of congestion at escalator entrances and exits. Background technique [0002] At present, escalators are used in major shopping malls, subway stations, railway stations, airports and other places with dense traffic. While escalators bring great convenience to people, they will also cause loss of life and property due to some improper use. . For example, when there is a large flow of people at the exit or when it is blocked by other objects, it is very easy for passengers to stay at the exit. If no measures are taken to slow down or stop the operation of the escalator, it is likely to cause passengers who are about to arrive at the exit to fall, fall, And then cause a domino effect, triggering more vicious casualties. Therefore, by automatically detecting the congestion level of the crowd at the en...

AI Technical Summary

Problems solved by technology

However, this solution uses images from traditional RGB cameras for analysis, and detects people through human heads (arc models), which inevitably misses the situation where non-human objects block the entrance and exit, whether it is an object or a human body, blocking the entrance and exit Therefore, it is not only possible to detect human heads, but to detect and warn people or objects that block or stay at entrances and exits for a long time

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