Also Available Domains Raspberry pi|Raspberry pi
The main objective of this project is to build a Raspberry Pi based Vehicle Number Plate Recognition system using OCR. The image of the Number plate is captured and is processed to extract the vehicle number with Raspberry pi and whenever the vehicle is detected then the data will be send to the cloud finally.
The basic idea of this project is to build a Raspberry Pi based Vehicle Number Plate Recognition system using python. Real-Time license plate detection and recognition can be very useful for automating toll booths, finding out traffic rule breakers and for addressing other vehicle-related security and safety issues.
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 and the same is sent to an IoT platform.
Keywords: OCR – Optical Character Recognition, Raspberry Pi, IoT.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Hardware Requirements:
Software Requirements: