Computer Vision & Video Analytics

At a Glance

"Computer Vision & Video Analytics" is a program designed to provide participants with practical skills in computer vision techniques and video analytics. Participants will learn how to analyze and interpret visual data, extract meaningful insights, and develop applications for image and video processing.

Objectives

By the end of the course, participants will be equipped to:

• Understand the principles and applications of computer vision and video analytics
• Implement image processing techniques for tasks such as filtering, segmentation, and feature extraction
• Apply machine learning and deep learning algorithms for object detection, classification, and recognition
• Analyze and interpret video data 
• Develop computer vision applications for real-world scenarios, such as surveillance, medical imaging, etc.

Prerequisite

Participants should have a basic understanding of Python programming and familiarity with fundamental concepts in machine learning. Prior exposure to computer vision concepts and deep learning frameworks such as TensorFlow or PyTorch is recommended but not required.