NUMBER PLATE DETCTION USING RASPBERRY PI

Authors

  • Ms.Ruchita S. Waghare Department of E&TC, Siddhant College of Engineering Sudumbre, pune
  • Prof.Vallabh S. Bhatlavande Department of E&TC, Siddhant College of Engineering Sudumbre, pune

Keywords:

Raspberry Pi, GSM, identifying the vehicle, number plate recognition, OCR optical character recognition

Abstract

License Platform Recognition was a computer system that automatically recognizes any digital image on
the platform. The method involves many activities, such as taking pictures, identifying the pad number, truncating letters,
and alphanumeric character OCR. The key purpose of this program is to design and create efficient image processing
techniques and algorithms to find the license plate in the captured image, separate the characters from that number plate
and classify each section character using the Open Computer Vision Library. This has been applied in the programming
language CNN algorithm and python. Many apps can be introduced with this method, such as surveillance, highway
speed detection, light break, handwritten text recognition, stolen car discovery, automated fee collection systems. We are
using raspberry Pi controller for more user friendly and gsm to capture user location. Every time the License Plate is
detected, the system can open gate.
Gate gate opening used as a hardware part Servo Motor

Published

2020-07-25

How to Cite

Ms.Ruchita S. Waghare, & Prof.Vallabh S. Bhatlavande. (2020). NUMBER PLATE DETCTION USING RASPBERRY PI. International Journal of Advance Engineering and Research Development (IJAERD), 7(7), 166–170. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/4703