Road Sign Recognition System for Autonomous Vehicle using Raspberry Pi
Product Description
Aim:
Aim of the project is to build an intelligent surveillance system for automated unregistered vehicles recognition by number plate detection and recognition.
Introduction:
The automated object detection algorithm is really important component in the smart cities application. In urban surveillance application the image sensor / camera plays an important role in digitizing the scene or environment. To process the digitized images searching for a particular object, smart vehicle license plate is a huge task as it will need a high CPU and memory power. To achieve this kind of functionality with distributing the processing is best way to solve. The Image processing technology to search for a number plate in a given image frame is an important task.
In this project we are using Raspberry pi as a processing unit to detect the number plates in traffic signals. USB camera is attached with raspberry pi, it detects number plates of every vehicle and extracts the numbers using OCR algorithm. Extracted vehicle numbers are compared with existing database, if the number of vehicle is not in registered list it send the number and image of vehicle to the control station through mail. Using this system, we can prevent illegal activities using unregistered or fake numbered vehicles. It is a low cost and efficient surveillance system when compared to present systems are used.
Proposed
System:
This system proposes a compact and
portable model to recognize the number plate of the vehicle. It will extract
the numbers from the detected number plates using OCR algorithm and compare the
extracted numbers with existing database which contains all registered vehicle
numbers.
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The Delivery time for Hardware Mini projects is 7-8 working days.