Team Let Me Ride

Project Goal

This project aims to use computer vision to detect people waiting in taxi ranks in Aberdeen city. With this information, this program alerts taxi companies to send units to the locations according to the demand.

Motivation

People waiting for a taxi in Aberdeen city centre and the airport are usually unsure whether a taxi will arrive, while waiting in long queues. Furthermore, not everyone can call the taxi companies and their mobile application are difficult to use and sometimes do not work properly.

Progress Made

• Implemented a YOLO model to detect people standing on a video
• Save the amount of people waiting for a minimum amount of time
• Developed a web application to retrieve the data and show it in a map
• Connected the model to an IP camera

Directory Structure

• model/: object tracking (YOLO) model implementation
• templates/: HTML templates for the application view
• utils/: Configuration files and helper functions

Installation Guide

Prerequisites

• Redis
• Python 3.10+

1. Set a virtual environment

python -m venv .env

2. Install the environment

pip install -r requirements.txt

How to Run the Program

1. Start Redis server

redis-server --daemonize yes

2. Start Flask application