Designing a comprehensive Machine Learning Model that is capable of identifying multiple objects in one image is a challenging task in computer vision.
Previously we learned about face recognition using Raspberry Pi and OpenCV. Today we will use these two to build a number plate recognition system using python.
Raspberry Pi 4 is the improved version of Raspberry Pi 3 B+. Raspberry Pi 4 comes with Cortex-A72 quad-core processor running at 1.5GHz with memory bumped up to the LPDDR4. It has three times better processing performance and speed than the Raspberry Pi 3.
CCTV cameras are very common now days and they are good tool to monitor and surveillance the home or office for any mishapenings. But still IP cameras, which provide video feed accessible from anywhere, are costlier.
Security is major concern nowadays and today we have all types of surveillance and security system available in the market. But they are very expensive and sometimes create problems which we can’t solve.
A Camera is used to record visual images in the form of photographs, film, or video signals. Here, we are also going to do the same by interfacing the camera with the Raspberry Pi.
