Bus-mounted video passenger OD analysis system, method and device and storage medium

A technology for in-vehicle video and analysis systems, applied in image analysis, neural learning methods, image data processing, etc., can solve problems such as low efficiency, insufficient accuracy, and long passenger identification cycles, and achieve easy deployment, high accuracy, and benefits. The effect of marketing

Pending Publication Date: 2021-08-13
SHENZHEN URBAN TRANSPORT PLANNING CENT
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology allows us to analyze both accurate and timely data on an aircraft's flight performance during different stages or phases of operation without changing any equipment already installed at airports. It provides valuable insights into how well these operations are being carried out by various parts of our fleet. Additionally, it simplifies the process of collecting this type of analysis with minimal modifications needed beforehand. Overall, this technology helps improve transportation planning and optimize service offerings while reducing costs associated therewith.

Problems solved by technology

There needs to develop precise analytic tools for analyzing bus passengers' movements accurately without requiring human input or complicated calculations over longer periods of time. Current solutions require expensive equipment such as cameras with limited functionality due to their limitations in terms of response speed, resolution range, reliability, flexibility, and usableness.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Bus-mounted video passenger OD analysis system, method and device and storage medium
  • Bus-mounted video passenger OD analysis system, method and device and storage medium
  • Bus-mounted video passenger OD analysis system, method and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0047] Specific implementation mode one: the OD analysis system of the passenger on the bus video, such as figure 1 As shown, it includes a data acquisition module, a target tracking module, a state determination module, a neural network training module, a GPS data capture module, and a matching and association module; each module performs data transmission in turn, and the data acquisition module obtains and implements the bus video stream and performs data initialization. The video stream information is monitored and tracked by the target tracking module, and the tracked information is accessed by the state determination module. The accessed information is extracted through the algorithm included in the neural network training and the pedestrian re-identification data set is called. At the same time, the captured bus GPS data is stored in the database together with the GPS data capture module, and finally the matching and association module analyzes the passenger travel OD throu

specific Embodiment approach 2

[0059] Specific implementation mode two: In addition to the above-mentioned accurate OD analysis of bus passengers based on the system, this embodiment will combine figure 2 , illustrate that the present embodiment realizes the method for the bus passenger OD analysis based on vehicle video, and concrete steps are as follows:

[0060] S1, real-time encoding and decoding of bus video streams through intelligent edge computing devices:

[0061] Real-time encoding and decoding of bus video streams through intelligent edge computing devices includes: Intelligent edge computing devices are widely used in the industry due to their advantages of light weight, small size, low power consumption, strong computing power, and low cost. Take the NVIDIA Jetson Xavier NX carrier board as an example , it can communicate with the bus camera through the USB interface or WIFI technology, obtain multi-channel bus video streams in real time, and support various video codec formats such as , and its

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a bus-mounted video passenger OD analysis system, method and device and a storage medium, and belongs to the field of intelligent traffic and computer vision.The method comprises the following steps: encoding and decoding bus video streams in real time through intelligent edge computing equipment; detecting and tracking each passenger appearing in the bus video through a target tracking network; judging the passenger getting-on and getting-off state detected and tracked in the video, and storing and taking the snapshot information of the getting-on and getting-off passenger in the moving process; extracting feature vectors of snapshots of boarding and alighting passengers through a pedestrian re-recognition algorithm, and storing the feature vectors into a database; capturing data such as a bus GPS (Global Positioning System) through intelligent vehicle-mounted equipment, and storing the data into a database; and performing passenger similarity matching and data association through an OD association algorithm, so that the travel OD of the bus passengers is obtained through analysis; The problem that passenger OD analysis is not accurate in an existing bus scene is effectively solved, and the method can be conveniently deployed and transplanted to city-level large-scale application.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Owner SHENZHEN URBAN TRANSPORT PLANNING CENT
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products