Enroll Course: https://www.udemy.com/course/real-time-ai-ppe-detection-yolov8-python-opencv/
In today’s fast-paced industrial environment, ensuring workplace safety is more critical than ever. The course ‘AI PPE Detection: Real-Time Workplace Safety with Python & CV’ on Udemy offers an innovative solution to this pressing issue by teaching you how to create a real-time Personal Protective Equipment (PPE) detection system. This course is an excellent fit for both beginners and intermediate learners who are eager to dive into the realms of computer vision and deep learning.
### Course Overview
The course leverages cutting-edge technologies such as YOLOv8 for video-based detection, NVIDIA NIM’s Florence 2 model for image-based detection, and Flask for web-based visualization. You will learn how to automatically detect essential safety gear, including helmets, gloves, vests, masks, and shoes, in various workplace settings. The hands-on approach ensures that by the end of the course, you will have developed a comprehensive PPE compliance monitoring system that can be accessed through a user-friendly Flask-based web dashboard.
### What You Will Learn
The curriculum covers a wide range of topics essential for building a robust PPE detection system:
– Setting up your Python development environment with essential libraries like OpenCV, Flask, YOLOv8, and NVIDIA NIM’s Florence 2.
– Training and deploying a YOLOv8 model to analyze live video feeds for PPE compliance.
– Utilizing the NVIDIA NIM Florence 2 model for high-accuracy image detection.
– Preprocessing video streams and images to enhance detection accuracy under various conditions.
– Creating a Flask-based web interface for real-time monitoring.
– Implementing optimization techniques to improve inference speed and accuracy.
### Why You Should Enroll
This course stands out for its practical approach to learning. You will not only gain theoretical knowledge but also hands-on experience with real-world applications. The step-by-step guidance provided is perfect for those who might be intimidated by more complex topics, making it accessible to all skill levels.
Moreover, the ability to monitor workplace safety in real-time is invaluable, especially in industries such as construction, manufacturing, and warehousing. Completing this course will equip you with the skills to contribute positively to workplace safety and compliance, potentially saving lives and reducing accidents.
In conclusion, if you’re looking to enhance your skill set with practical applications in AI and computer vision, this course is a worthy investment. Enroll today and take the first step towards building your own AI-Powered PPE Detection system to ensure workplace safety in real-time!
Enroll Course: https://www.udemy.com/course/real-time-ai-ppe-detection-yolov8-python-opencv/