Industrial Imaging Essentials Training

Enhance the expertise with our comprehensive Industrial Imaging Essentials 9-day training bootcamp, designed for professionals seeking to advance in vision system technologies. Gain hands-on skills and cutting-edge knowledge to optimize industrial imaging solutions. Ideal for engineers, technicians, and technical teams aiming for top-tier development.

• To strengthen graduates’ capabilities in understanding, designing and applying Machine Vision systems comprehensively, covering camera and lens selection, lighting, as well as digital image processing and analysis techniques to support real-world industrial applications.

• To enhance graduates’ employability and workplace readiness through the acquisition of technical Machine Vision skills, complemented by professional communication skills and confidence in using English, to meet the needs of the high-technology industry.

Module 1: Principles of Optics

• Behavior of Light in Different Regimes

• Law of Reflection and Refraction

• Thin Lens Equation

• Interference and Diffraction
  

Module 2: The Machine Vision Model & System Overview

• The Machine Vision Model

• Components of Machine Vision

• Purpose and Application

• Basic Terminology

• Customer Requirements and Scene Constraints

• Criteria of a Good Image
  

Module 3: Camera Specification and Selection

• Overview of camera

• Criteria to select camera

  • Camera Sensor

  • Shutter

  • Mounting & Camera Interface

Module 4: Lens Specification and Selection

• Overview of Lens

• Lens Selection

• Extension tube

• Imaging Systems and Performance
  

Module 5: Lighting Selection and Techniques

• Why lighting is Critical

• Light and matter Interaction

• Selection Criteria

Module 6: Overview of Digital Image Processing

• What is Digital Image Processing?

• Rule Base and Deep Learning

• Representing Digital Images

Module 7: Image Preprocessing

• Image Cropping

• Data Type and Modify image pixel

• Colour Space Conversion

• Histogram Fundamentals

Module 8: Image Enhancement

• Intensity Transformations

• Histogram Processing

• Noise and Smoothing Techniques

Module 9: Image Segmentation

• Binarization Using Thresholding

• Thresholding Determination Methods

Module 10: Edge Detection

• Edge Detection

• Convolution and Operators
  

Module 11: Measurement System Analysis

• Why Measurement Matters

• Statistics Fundamentals

• Gage R&R Studies

Module 12: Statistical Process Control

The Philosophy of Control

Control Charts

Process Capability

Graduate Employability Modules - Polishing Skills (Day 8 - Day 9)

Module 13: Effective Presentation

• Master Non-Verbal Communication

• Voice Modulation

• Engage with Storytelling

• Deliver with Purpose

Module 14: Speak English with Confidence

• Speak with Flow

• Interview Skills

• Master the "Hotspots"

• Ask to Understand

• Project Confidence