![]() ![]() So make sure to install OpenCV Library on Raspberry Pi before proceeding with this tutorial. Sounds interesting right!, so Let’s get started.Īs told earlier we will be using the OpenCV Library to detect and recognize faces. We will use some random vehicle images from Google and write a program to recognize the number plate using OpenCV Contour Detection and then read the number from the plate using Tesseract OCR. We previously used MATLAB Image processing to read the number plate, today in this article we will learn how to recognize and read License Plate Number from Automobiles using Raspberry Pi and OpenCV. In fact, surveillance companies like Hikvision and many others have already started implementing these features in their products. The video feed from these cameras can be used to perform face recognition, pattern analysis, emotion analysis and much more which would really get it close to something like the “God’s Eye” shown in the FF7 movie. With the advancement in technology especially in Image processing and Machine Learning, it is possible to make these cameras smarter by training them to process information from the Video feed. According to a survey by HIS it is estimated that there were around 245 million security cameras installed and functioning back on 2014, which is like having one security camera for every 30 people on this planet. Today we have video surveillance cameras in schools, hospitals and every other public place to make us feel secured. Security has always been a major concern for mankind.
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