Smartparking

Smart Parking project allows analyzing parking availability via IP cameras video stream.

Internet of Things (IoT)PythonLGPL-3.0

Abstract

Smartparking is an open-source Internet of Things (IoT) project. Smart Parking project allows analyzing parking availability via IP cameras video stream. It is built using Python. The complete source code is publicly available on GitHub under the GNU Lesser General Public License v3.0, making it a useful reference for students building an Internet of Things (IoT) mini project or final-year project.

1. Introduction

Smart Parking project allows analyzing parking availability via IP cameras video stream. One or more cameras can be installed at the open area (authorized parking or free parking) and ML models will process the video stream and analyze each parking slot availability.

Instructions below provide a detailed description of how to run a demo version of the application, as well as how to train your custom model and apply the solution to your custom parking.

The diagram below represents a high-level architecture.

2. Objective

Smart Parking project allows analyzing parking availability via IP cameras video stream.

This project demonstrates how Python can be applied to a real-world Internet of Things (IoT) problem.

4. Technology Stack

Python

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • Python 3.8 or later
  • pip / virtualenv for dependencies
  • VS Code, PyCharm or Jupyter Notebook
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/SoftServeInc/smartparking.git
cd smartparking
sudo apt-get install git -y
curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash
sudo apt-get install git-lfs -y
git clone https://github.com/SoftServeInc/smartparking.git
cd smartparking
git lfs install
sudo ./install.sh
sudo crontab -e

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Add a mobile dashboard using Blynk or Firebase
  • Store readings in a cloud database for history charts
  • Add alerts via SMS / Telegram when thresholds are crossed

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Which microcontroller / board and sensors are used and why?
  2. How does the device send data (Wi-Fi, MQTT, HTTP, Bluetooth)?
  3. Where is the sensor data stored and visualised?
  4. How is power consumption managed?
  5. How would you secure the device and its communication?

9. Source Code & License

This project is developed by SoftServeInc and published on GitHub under the GNU Lesser General Public License v3.0. Please follow the license terms and credit the original author when you use or modify this code.

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