Automatic Number Plate Recognition, OCR Web App in Python (eLearning)
Welcome to the “Automatic Number Plate Recognition, OCR Web App in Python” course! This course offers a comprehensive introduction to building a web application for automatic number plate recognition (ANPR) using Python. ANPR systems are vital for various applications such as toll collection, parking management, and law enforcement. Through this course, participants will learn how to develop an ANPR system capable of accurately detecting and recognizing license plate numbers from images.
Main Course Features:
Step-by-step guidance on setting up a Python web application using popular frameworks like Flask or Django.
Training on integrating optical character recognition (OCR) libraries such as Tesseract with Python.
Hands-on exercises for image preprocessing, including resizing, filtering, and enhancing image quality.
Implementation of machine learning algorithms for license plate detection and character recognition.
Deployment of the ANPR web application on cloud platforms like Heroku or AWS for remote access.
Real-world examples and case studies to illustrate ANPR applications in various industries.
Code review sessions and debugging techniques to troubleshoot common issues in ANPR development.
Access to additional resources, including documentation, tutorials, and community support forums.
Venue: E-Learning
Contact: Sello Mashabela
Company name: SNH Business Seminars
Telephone number: 0790879279
Email address az.oc.sranimeshns@stneve
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