Smart Parking System With Number Plate Recognition Using ESP32 CAM

Abstract

1. Introduction

Welcome to the Smart Parking System project! This system leverages the ESP32-CAM to create an intelligent parking management solution that integrates image recognition, web server communication, and real-time updates.

2. Objective

USing Number plate recognition for a SMart Parking system Project.

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

3. Key Features / Modules

• WiFi Connectivity: Seamlessly connects to your network for remote communication.
• Secure HTTPS: Ensures secure communication with your server.
• Camera Functionality: Captures images of vehicle number plates for recognition.
• Real-Time Clock: Accurate timekeeping using NTP for Indian Standard Time (IST).
• Web Interface: Live web page displaying real-time status, parking information, and captured images.
• Image Upload: Automatically uploads captured images to a remote server.
• Dynamic Updates: Reflects real-time parking status and availability.
• Barrier Control: Operates the parking barrier using a servo motor based on vehicle entry and exit.
• Vehicle Detection: Uses sensors to detect vehicles and manage parking spaces.
• Parking History: Logs valid number plates with timestamps for historical reference.

4. Technology Stack

5. System Requirements

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

• Arduino IDE / PlatformIO or a C++ compiler (g++)
• Target board (e.g. Arduino, ESP32) where applicable
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/Circuit-Digest/Smart-Parking-System-with-Number-Plate-Recognition-using-ESP32-CAM.git
cd Smart-Parking-System-with-Number-Plate-Recognition-using-ESP32-CAM

1. Configure WiFi: Update the ssid and password with your network credentials.
2. Server Details: Replace serverName, serverPath, and apiKey with your server information.
3. Compile and Upload: Upload the code to your ESP32-CAM using the Arduino IDE.

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 Circuit-Digest and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.