A bus video passenger flow counting device

Abstract

The invention discloses a bus video passenger flow counting device, which comprises a video passenger flow counting device body and a crossbeam. A servo motor is installed, the output shaft of the servo motor is connected to one end of the threaded rod, and the other end of the threaded rod passes through the side wall of one end of the beam and is screwed into the threaded hole of the slider. The box is installed on the slider, and the inside of the box The main body of the video passenger flow counting device is installed. The bus video passenger flow counting device is equipped with a human body induction search mechanism composed of thermal infrared sensors, central control modules, data storage and other components, which can push the camera installed on the mechanism to the place where there are people on the bus. And cooperate with the video passenger flow counting device body installed on the mechanism to realize the counting of the people on the bus, its design is ingenious and easy to popularize.

Description

technical field [0001] The invention relates to the technical field of a bus passenger flow counting device, in particular to a bus video passenger flow counting device. Background technique [0002] In places with a large flow of people, such as intersections of main and secondary arterial roads, shopping malls, squares, stations, and complex places in the city, the flow of people is like weaving, and fish and dragons are mixed. Most of the existing video surveillance technologies have no understanding and application of intelligent visual analysis. It is still limited to moving target recognition and video optimization. With the establishment of a large-scale video data acquisition network, although massive data can provide more application scenarios, in this environment, pure video analysis still cannot achieve the goal. Only video Analysis is unreliable, e.g. how to detect that there may be sudden events in the crowd in the video? How to detect possible fire? People ne...

AI Technical Summary

Problems solved by technology

[0002] In places with a large flow of people, such as intersections of main and secondary arterial roads, shopping malls, squares, stations, and complex places in the city, the flow of people is like weaving, and fish and dragons are mixed. Most of the existing video surveillance technologies have no understanding and application of intelligent visual analysis. It is still limited to moving target recognition and video optimization. With the establishment of a large-scale video data acquisition network, although massive data can provide more application scenarios, in this environment, pure video analysis still cannot achieve the goal. Only video Analysis is unreliable, e.g. how to detect that there may be sudden events in the crowd in the video? How to detect possible fire? People need to obtain more auxiliary information through other means for statistics and analysis of passenger flow and early warning

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