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HVS-3294. No Parking Challan Using Automatic Number Plate Recognition using Raspberry Pi.

12,500.00

The project aims at designing a system which captures the image of the number plate of a vehicle. These details were verified using Raspberry Pi processor for authentication. If the vehicle is parked for a long time where there is no parking place, this system will be sending the alert mail long with numberplate image to the authority and vehicle owner.

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The project aims at designing a system which captures the image of the number plate of a vehicle. These details were verified using Raspberry Pi processor for authentication. If the vehicle is parked for a long time where there is no parking place, this system will be sending the alert mail long with numberplate image to the authority and vehicle owner.   Automation is the most frequently spelled term in the field of electronics. The hunger for automation brought many revolutions in the existing technologies. This project makes use of an onboard computer, which is commonly termed as Raspberry Pi processor. It acts as heart of the project. This onboard computer can efficiently communicate with the output and input modules which are being used. The Raspberry Pi is a credit-card-sized single-board computer developed in the UK by the Raspberry Pi Foundation. The Raspberry Pi has a Broadcom BCM2835 system on a chip (SoC), which includes an ARM1176JZF-S 700 MHz processor, Video Core IV GPU, and was originally shipped with 256 megabytes of RAM, later upgraded to 512 MB. It does not include a built-in hard disk or solid-state drive, but uses an SD card for booting and long-term storage.   The device which is able to perform the task is a Raspberry Pi processor. Pi camera is uses to capture the numberplate of the image. IR sensor is uses to detect the vehicle. To perform this task, Raspberry Pi processor is programmed using embedded ‘Linux’.

 

The objectives of the project are:
  1. Usage of image authentication technology.
  2. Capturing of Vehicle number plate details using pi camera.
  3. Sending alert mail to the respective person and authority.
The major building blocks of the project are:
  1. Power supply.
  2. Raspberry Pi processor.
  3. Pi Camera.
  4. IR sensor.
  5. SD Card.
  6. RED, GREEN LED Indicators.
Software’s used:
  1. Embedded Linux programming.
  2. Express SCH for Circuit design.
   

   

Block diagram:  

 

   

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