Image and Video Processing with OpenCV
About This Course
Take your skills in visual data analysis to new heights with our WSQ-endorsed course on Image and Video Processing with OpenCV. This in-depth course covers essential topics like object detection, face recognition, and real-time video analysis using OpenCV's powerful libraries. Through hands-on exercises and case studies, you'll learn how to process and analyze visual data, gaining the skills to tackle a range of image and video processing challenges.
By the end of this course, you’ll have acquired a strong foundation in image and video processing using OpenCV. Whether you are an aspiring data scientist, a developer interested in computer vision, or a professional in fields requiring visual data interpretation, this course will provide you with the tools to understand, analyze, and make informed decisions based on visual data.
What You'll Learn
- understand basic vision systems concepts and applications
- apply image processing with OpenCV
- implement feature extraction with OpenCV
- apply machine learning based computer vision methods
- implement video analytics algorithms with OpenCV
- evaluate edge vs cloud-based computer vision systems
Course Outline:
Topic 1 Overview of Computer Vision
• Overview of Computer Vision
• Computer Vision Industrial Applications
• Traditional vs Deep Learning Based Computer Vision
Topic 2 Image Processing
• Basic Image and Video Processing
• Image Transformation
• Image Filtering
Topic 3 Feature Description and Extraction
• Understanding Features
• Feature Detection
Topic 4 Machine Learning Based Computer Vision
• Overview of Convolutional Neural Network (CNN)
• Image Recognition
• Object Detection
• Object Segmentation
Topic 5 Video Analytics
• Overview of Video Analytics
• Video Analytics Algorithms
Topic 6 Edge Computing Based Vision System
• Cloud vs Edge Computing Systems
• Edge Based Vision System
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
• Minimum 18 years old