Escalator rider falling recognition system based on computer vision

Abstract

The invention discloses an escalator rider falling recognition system based on computer vision and relates to the technical field of intelligent recognition. The system comprises an escalator area, amonitoring module, an analysis module, a transmission module, an alarm module, a computer terminal module, a manual polling module, an instruction module and a control module, wherein an output end ofthe escalator area and an input end of a network connecting unit are connected electrically; an output end of the monitoring module is electrically connected to an input end of the analysis module; an output end of the analysis module is electrically connected to an input end of the transmission module; and an output end of the transmission module is electrically connected to an input end of thealarm module. When the automatic escalator area is stopped, the computer terminal module can realize signal transmission of the manual polling module, so that rapid dispatching of workers can be realized; an overall rescue speed is increased; and rapid rescue of injured and sick people can be realized.

Description

technical field [0001] The invention relates to the technical field of intelligent identification, in particular to a computer vision-based fall identification system for passengers on and off an escalator. Background technique [0002] Computer vision is a science that studies how to make machines "see". To put it further, it refers to using cameras and computers instead of human eyes to identify, track and measure targets, and further processing graphics to make computers It is processed into an image that is more suitable for human observation or sent to the instrument for detection. As a scientific discipline, computer vision studies related theories and technologies, trying to build artificial intelligence systems that can obtain 'information' from images or multidimensional data. The information referred to here refers to information that can be used to help make a "decision" as defined by Shannon. Because perception can be seen as extracting information from sensory...

AI Technical Summary

Problems solved by technology

[0003] With the continuous development of society, artificial intelligence gradually replaces human beings. Its more accurate and efficient method greatly facilitates our life. In the process of daily shopping, hand-holding in the process of escalators is prone to fall. If the escalator is not closed and stopped in time and the injured are not dealt with, the injured will be in a more serious situation. However, in the traditional way, after the accident, the manual response speed is relatively slow, which may easily cause the injured to fail in time. Therefore, we propose a computer vision-based escalator fall recognition system to solve the above problems

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