VIP Parking QRCode Based System Using IOT With ESP32CAM & IR Sensors

VIP Parking QRCode Based System Using IOT With ESP32CAM & IR Sensors | QR BASED CAR PARKING SYSTEM esp32 | QR code based car parking system using ESP32 CAM with IR sensors | QRCode Based IOT Car Parking System Using ESP32CAM & IR Sensors | QR Code Scanner with ESP32 CAM Module & OpenCV Python Library | QR Code Based Door Lock System using ESP32-CAM | How to make Car Parking System using Arduino and i2c lcd display | Automatic Car Parking System
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Creating a QR code-based IoT car parking system using an ESP32-CAM (ESP32 with camera) and IR sensors involves several steps. Below is a basic outline to help you get started. Keep in mind that this is a high-level overview, and you may need to adjust the details based on your specific requirements and hardware setup.
Hardware Components:
1. ESP32-CAM module: It integrates an ESP32 microcontroller with a camera.
2. IR Sensors: To detect the presence of a car in a parking space.
3. Power Supply: Provide power to the ESP32-CAM and IR sensors.
4. QR Code Scanner: If not built into the ESP32-CAM, an external QR code scanner may be needed.
Software Components:
1. Arduino IDE: Used to program the ESP32-CAM.
2. ESP32 Board Support Package: Install the necessary package in the Arduino IDE for ESP32.
3. QR Code Library: Use a QR code library for Arduino to decode QR codes.
4. Programming Language: Write the necessary code in C++ for the ESP32-CAM.
Steps:
1. Set Up Arduino IDE:
• Install the Arduino IDE and add support for the ESP32 board.
• Install the necessary libraries for QR code decoding.
2. Connect Hardware:
• Connect the ESP32-CAM to the computer and configure the Arduino IDE to recognize it.
• Connect IR sensors to GPIO pins on the ESP32-CAM for car presence detection.
3. Write Code:
• Write Arduino code to handle QR code decoding using the QR code library.
• Implement logic to use the camera to capture images and process them for QR code recognition.
• Write code to handle IR sensor inputs for car presence detection.
4. QR Code Generation:
• Implement a mechanism to generate unique QR codes for each parking space.
• Associate each QR code with a specific parking space ID in your system.
5. Communication:
• Implement communication between the ESP32-CAM and a central server or database.
• When a QR code is scanned, send the parking space ID to the server.
6. Server-Side Logic:
• Develop a server-side application to receive parking space IDs from ESP32-CAM devices.
• Maintain a database of parking space statuses (occupied or vacant).
7. Web Interface (Optional):
• Create a web-based interface to display the status of parking spaces.
• Users can check available parking spaces and reserve a spot if needed.
8. Testing:
• Test the entire system, including QR code scanning, IR sensor detection, and communication with the server.
9. Deployment:
• Deploy the system in a real-world parking environment.
10. Optimization and Security:
• Optimize code for performance and implement security measures to prevent unauthorized access or manipulation.
Remember to refer to the datasheets and documentation for the ESP32-CAM module, IR sensors, and any other components you use. Additionally, consider the specific requirements and constraints of your parking system while implementing the steps above.

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