🚗 Smart IoT-Based Parking Management System Using ESP32-CAM and Custom ANPR Model
View on GitHub📋 Project Overview
The Smart Parking Management project is an IoT-based solution designed to automate vehicle parking processes using the ESP32-CAM module and Automatic Number Plate Recognition (ANPR). The system captures vehicle images, sends them to a local server for number plate recognition, and controls access using IR sensors and a servo motor. A web interface provides real-time status updates, including time, system status, and recognized number plates. The project integrates hardware (ESP32-CAM, IR sensors, servo motor, flashlight) and software (ANPR model, local server) to create an efficient parking management system suitable for small-scale parking lots.
This repository contains all the code, documentation, and resources needed to replicate the project, including ESP32 firmware, server-side code, ANPR model, testing scripts, and circuit diagrams.
🔧 Key Components
📷 ESP32-CAM
- Microcontroller with OV2640 camera module
- Captures vehicle images
- Hosts web server for status monitoring
🔍 IR Sensors
- Two infrared sensors for entry (GPIO 16) and exit (GPIO 15)
- Detect vehicle movement
- Trigger image capture and servo actions
⚙️ Servo Motor
- Controls gate mechanism
- Toggles between 0° and 90° based on entry IR sensor
- Connected to GPIO 14
💡 Flashlight
- LED on GPIO 4
- Illuminates scene during image capture
🖥️ Local Server
- Flask-based server (192.168.29.56:5000/upload)
- Processes images and performs ANPR
- Returns JSON with number plate and image URL
🤖 ANPR Model
- Jupyter Notebook (anpr.ipynb)
- Implements Automatic Number Plate Recognition
- Uses computer vision techniques
🌐 Web Interface
- HTML interface served by ESP32-CAM
- Displays real-time system status, time, last event, and captured images