Computer Vision for Beginners
About This Course
Unlock the potential of visual data with our WSQ-endorsed Computer Vision for Beginners course. This foundational course is designed to introduce you to the basics of computer vision, from image analysis to object detection. Through hands-on exercises, you will learn how to manipulate images and videos using a variety of techniques and tools, laying the groundwork for more advanced studies in the field.
By the end of this course, you'll have a strong understanding of the core principles of computer vision. Whether you aim to deepen your knowledge in data science or apply visual data in your professional field, this course serves as your stepping stone. You'll be well-equipped to understand, interpret, and make data-driven decisions based on visual information.
What You'll Learn
- understand basic vision systems concepts and applications
- apply basic computer vision techniques
- implement image classification
- implement object detection and video analytics
- evaluate edge and cloud-based computer vision systems
Course Outline:
Topic 1 Overview of Computer Vision with Deep Learning
Introduction to Computer Vision
Computer Vision Business Applications
Classical vs Deep Learning Computer Vision
Topic 2 Basic Computer Vision Techniques
Setup Portable Mini Computer Board
Setup Camera
Setup OpenCV
Image Processing with OpenCV
Topic 3 Image Classification
Introduction to Deep Learning and Neural Network
Overview of Convolutional Neural Network (CNN)
Pre-Trained Vision Models
Image Classification with Pre-Trained CNN
Topic 4 Object Detection
Overview of Single Shot Detector (SSD) Object Detection Technique
Object Detection and Video Tracking with SSD
Overview of YOLO Object Detection Technique
Object Detection and Video Tracking using YOLO
Basic Video Analytics
Topic 5 Computer Vision Systems
Edge Based Vision System
Cloud 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