Public transportation onboard visual intelligent sensing system based on AI technology

Abstract

The invention discloses a public transportation onboard visual intelligent sensing system. The steps include: 1) separately collecting images of passengers when getting on and off a vehicle, images ofcrowded passengers in a standing area of the vehicle and a face image of a driver; 2) converting the image signals collected in the step 1) into a video signal; 3) subjecting the video signal in thestep 2) to calculation based on a deep learning analysis method; 4) collating the data through the related data obtained by the calculation based on the deep learning analysis method and according toprotocol requirements; and 5) establishes a wireless data communication between the collated data with an intelligent management platform. The artificial intelligence technology is used to achieve passenger statistics, in-vehicle crowding degree and face recognition, the positioning information and related information can be synchronously uploaded to a back-end service platform to achieve passenger flow statistics for each station and each line, and strong data support is provided for the analysis and forecasting of the bus passenger flow, the bus dispatch optimization and decision-making, regulation and guidance, and other transportation demands.

Description

technical field [0001] The invention relates to a visual intelligent perception system, in particular to an AI technology-based visual intelligent perception system for buses. Background technique [0002] With the continuous development of urbanization in our country, the increasing urban population has increased the traffic pressure in large and medium-sized cities. The development of smart public transportation is not only the need of public travel, but also the need of building low-carbon cities. Technologies such as GPS / GPRS / 3G have been widely used in bus dispatching, which can monitor the location and speed of vehicles in real time, and have played a great role in vehicle dispatching, intelligent station reporting, and operation safety management. However, the real-time acquisition of bus passenger flow information has always been a difficult problem that plagues the industry. Accurately collect real-time passenger information of bus vehicles and passenger information...

AI Technical Summary

Problems solved by technology

[0010] Therefore, there is no method in China that can make statistics and analysis on the bus passenger flow very accurately

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