Profile
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
Learning Outcomes:
- 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
Minimum Entry Requirement
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