Enroll Course: https://www.udemy.com/course/anpr-alpr-number-plate-recognition-python-ai-project/
Are you interested in harnessing the power of AI for vehicle monitoring and security applications? The Udemy course titled ‘ANPR/ALPR: Automatic Number Plate Detection with Python & AI’ offers a comprehensive, hands-on learning experience to develop a real-time license plate detection and recognition system. This course is perfect for beginners and intermediate learners eager to dive into computer vision and AI-powered applications. Throughout the course, you will set up your Python environment, install essential libraries such as OpenCV, Tkinter, YOLOv8, and Florence-2, and learn how to integrate these tools to create a fully functional system. The core of the course revolves around using YOLOv8 for vehicle detection and license plate localization, followed by Florence-2 for accurate text recognition. You will also design a user-friendly Tkinter GUI to visualize live detection results, making the system accessible and practical. Not only will you learn how to handle challenging conditions like occlusion and varying lighting, but you’ll also optimize your system for real-time performance, making it suitable for real-world applications like toll collection, parking management, and traffic monitoring. This course is highly recommended for those looking to expand their skills in AI, computer vision, and application development. With step-by-step guidance, you’ll build a robust, interactive license plate recognition system that you can customize and deploy in various scenarios. Enroll now to unlock the potential of AI in vehicle recognition and take a significant step toward your AI development goals!
Enroll Course: https://www.udemy.com/course/anpr-alpr-number-plate-recognition-python-ai-project/