Richard Wan is an ACLP-certified lecturer and software consultant with over 40 years of experience in software and hardware development, spanning AI, computer vision, and machine learning. He began his programming career with 8-bit computing in the late 1970s and went on to earn his M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin–Madison. His professional contributions include co-founding multiple high-tech companies, pioneering digital publishing technologies, and leading AI-driven software development in healthcare, defense, and manufacturing.
Richard has taught a wide range of technical courses, including machine learning with Scikit-Learn, deep learning with TensorFlow and PyTorch, and computer vision with OpenCV. In predictive analytics, he emphasizes the use of PyTorch for building deep learning models that can forecast trends, detect anomalies, and classify outcomes. His teaching approach blends decades of hands-on development with structured, beginner-friendly instruction, equipping learners with practical skills to transform data into prediction.
Course Details
Course Details
What You'll Learn
Topic 1 Overview of Computer Vision
Overview of Computer Vision
Computer Vision Industrial Applications
Overview of Raspberry Pi
Setup Raspberry Pi
Introduction to OpenCV
Install OpenCV on Raspberry Pi
Topic 2 Image Processing
Basic Image and Video Operations
Drawing Shapes
Color Space
Image Addition and Blending
Geometric Transformation
Image Filtering
Morphological Transformation
Topic 3 Feature Extraction and Description
Understanding Features
Corner Detection
Thresholding
Edge Detection
Template Matching
Topic 4 Machine Learning Based Computer Vision
Haar Cascade Object Detection
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- 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.
Target Age Group: 21-65 years old
Minimum Software/Hardware Requirement
Software:
Download and Install the following software
Sign up free Google Colab account
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- Computer Vision Engineer
- Machine Learning Engineer
- Robotics Developer
- Augmented Reality Developer
- Video Analytics Specialist
- Multimedia Developer
- Image Processing Engineer
- Visual Effects Artist
- Software Developer (with a focus on visual applications)
- Drone Technology Developer
- Biometrics Systems Engineer
- Autonomous Vehicle Systems Developer
- Medical Imaging Specialist
- CCTV and Surveillance Systems Designer
- Game Developer.