Vehicle number plate detection using Raspberry Pi

Recognizing vehicle number plates is a difficult but much-needed system. This is very useful for automating toll booths, automated signal breakers identification and finding out traffic rule breakers. In this project a Raspberry Pi based vehicle number plate recognition system that automatically recognizes vehicle number plates using image processing.

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1. IoT using Raspberry Pi

2. Surveillance Robot

3. Surveillance Camera using IoT

4. 2 Computer Vision Projects (Combo Course)

5. Computer Vision (Career Building Course)

6. Raspberry Pi Robot

The system uses a camera along with an LCD display circuit interfaced to a Raspberry Pi. The system constantly processes incoming camera footage to detect any trace of number plates. On sensing a number plate in front of the camera, it processes the camera input, extracts the number plate part from the image. Processes the extracted image using OCR and extracts the number plate number from it. The system then displays the extracted number on the display.

Project Description:

1. Raspberry Pi 3 B: Raspberry Pi is a Microprocessor which has 40 pins with 27 GPIO pins, it has a 1 Giga Bytes of RAM and a SD card slot for the storage or the ROM,it can be used as a mini computer for low computing operations, it has a dual band LAN, faster Ethernet, Bluetooth, it also has USB and HDMI ports for connecting devices. This device can be used as a server which we are doing in this project.
2. Micro SD card: You will need a minimum of 8 gigabytes SD card for this project, this SD card is used as the ROM of the raspberry pi. Use 32 Gigabyte or 64 Gigabytes of
3. Display: You can use any kind of display for the project, like monitors, TV or any size display that fits your requirement to configure the Pi.
4. Power Supply: Raspberry Pi needs a power supply of 5V and 2A Micro USB type.
5. Mouse and keyboard: You will need this to control, monitor, and to configure the Pi.
6. Keypad Module: Keypad module is used to enter the security code to open the gate or the door, it is basically a number pad which takes the security code as the input.
7. Pi Camera: Use the Pi camera to capture still images, live streaming and for video recording.

Project Implementation:

1. Install the Raspbian OS into the SD card, and boot the Raspberry Pi.
2. Connect the Pi camera and enable the camera option in the settings.
3. Download the OpenCV software for the Pi camera and run it in the daemon mode.
4. Write a shell script to execute the commands in the terminal for detecting the numbers from the picture taken of the vehicle's number plate.
5. Write a python program with which you can take a picture when there is a vehicle coming in front of the camera and detect the vehicle registration number using opencv.

Project Brief:The Raspberry Pi when configured and all the required software has been installed then the Pi is ready to be used for surveillance then write a shell script to execute all the terminal commands one by one in order to capture a still image, or for live streaming or for motion capture. After finishing all the configure steps the surveillance system is ready to be installed in your home, or office, or any place where you want to monitor.

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Software requirements:

1. Raspbian OS(Debian Linux): Raspbian operating systems are based on Linux, Raspberry pi are also compatible with Windows and IOS but prefer any Linux based OS
2. OpenCV OpenCV is a dependency software for face detection, or a circular object detection, and even the fire detection.
3. Python IDE 3: Python IDE 3 is compiler where you can write and compile python program.

Programing Language:

Linux (terminal commands)

Python

• Raspberry Pi
• SD card
• Display
• Power Supply
• Mouse and keyboard
• Keypad Module
• Pi Camera

• Embedded Systems
• Linux
• Image Processing
• Image processing
• image processing