Enroll Course: https://www.udemy.com/course/smart-parking-management-system-with-opencv-python-yolov7/
The ‘Smart Parking Management System with OpenCV, Python, YOLOv11’ course on Udemy is an excellent resource for anyone interested in developing AI-powered parking solutions. Designed for beginners and intermediate learners, this hands-on course provides a comprehensive guide to building a real-time vehicle occupancy management system using state-of-the-art technology like YOLOv11 VisDrone and Flask.
What sets this course apart is its practical approach. You start by setting up your development environment with essential tools and libraries, then progress to using pre-trained models for vehicle detection and tracking. The course covers critical challenges such as occlusion, varying lighting, and crowded environments, equipping you with techniques to enhance detection accuracy and system robustness.
One of the most impressive features is the integration of a Flask web application, which visualizes parking data in real-time. This makes the system not only functional but also user-friendly, ideal for applications across smart city infrastructure, malls, airports, and private parking lots.
The instructor guides you step-by-step through the process, making complex concepts accessible, and ensuring you’re equipped to handle real-world scenarios. By the end of the course, you’ll have developed a fully operational parking management system that offers real-time insights and efficient space utilization.
I highly recommend this course to anyone eager to explore AI and computer vision in practical applications. Whether you’re a developer, a student, or a professional in need of innovative parking solutions, this course will boost your skills and provide a solid foundation in real-time object detection and web integration.
Enroll Course: https://www.udemy.com/course/smart-parking-management-system-with-opencv-python-yolov7/