![]() import cv2 import matplotlib.pyplot as plt read the image image cv2.imread('thumbsupdown.jpg') convert to RGB image cv2.cvtColor(image, cv2. Code for How to Detect Contours in Images using OpenCV in Python Tutorial View on Github. In the section below, I will introduce you to a machine learning project on Number plate detection with Python. Code for How to Detect Contours in Images using OpenCV in Python - Python Code. Most systems operate under these limitations. These systems are based on different methodologies, but it is always a very difficult task as some of the factors like high vehicle speed, non-uniform vehicle number plate, vehicle number language and different lighting conditions can affect a lot of overall recognition rate. There are many Number Plate Recognition systems available today. So to solve these types of problems we need to create a Number Plate Detection System. ![]() ![]() Therefore, it is not possible to catch and punish such kind of people because the traffic personnel might not be able to retrieve the vehicle number of the moving vehicle due to the speed of the vehicle. Sometimes it becomes difficult to identify a vehicle owner who is breaking the rules of the road and driving too fast.Īlso, Read – 100+ Machine Learning Projects Solved and Explained. Traffic control and the identification of vehicle owners have become a major problem in all countries. Machine Learning Project on Number Plate Detection
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