Skip to content
Hyunwoo Chung edited this page Jun 14, 2023 · 15 revisions

Localization & Congestion Degree for Gachon University echo bus

Graduation

Our project introduce youtube


Abstract

As part of school welfare, Gachon University has an eco-bus (hereinafter referred to as moodang) that travels around the campus. Compared to the limited number of moodang, there are many situations in which users occur. In this situation, the location of the moodang and the number of people waiting are unknown until you check the bus stop yourself. This document proposes a project in which a shaman tells you the location of a location. The camera is attached to the shaman to predict the location according to the surrounding objects, and the camera is installed at the stop to calculate the congestion level and provide information through the web page.

Demo

1. Device installed on the moodang (Camera Type 1 Device)

  • The moodang recognizes objects located in the path
  • Prediction of location based on recognized objects
  • Send predicted results to the server

2. Device installed at the stop (Camera Type 2 Device)

  • Recognize people who are within camera recognition
  • Identify the number of people by categorizing only those who are waiting
  • Send congestion level and headcount to server

3. Web page

  • Receiving the location and stop congestion of the shaman from the server
  • Indication of the location of the moodang located in the upward (Jungmun → AI Hall) path and the congestion level of the main gate
  • Indication of the location of the moodang located in the downstream (AI pipe → main gate) route and the congestion of the AI pipe stop
  • Provides information on moodang and congestion criteria
  • Example
    webpage1 webpage2 webpage3