Intro to Machine Vision Technology - 24 hrs

Part-Time | 12 Online Sessions

Course Overview

“Intro to Machine Vision Technology ” is a comprehensive, hands-on course designed to introduce participants to the key technologies, tools, and techniques used in modern machine vision systems. Learn how computer vision, image processing, and AI are transforming industries including manufacturing, quality control, agriculture, medical diagnostics, and more.

Who Should Attend?

This course is ideal for:

• Engineers and technicians in industrial automation

• Researchers in computer vision and image analysis

• Quality control and inspection professionals

• Students and graduates pursuing careers in AI, machine vision, or robotics

Course Modules

Module 1: Introduction to Machine Vision Technology 

• What is Machine Vision Technology ?

• Industrial applications: manufacturing, agriculture, healthcare, etc.

• Components of a machine vision system

• Hardware and software overview

Module 2: Machine Vision Systems

• Types of systems: 2D, 3D, line scan, area scan

• Core components: cameras, lenses, frame grabbers, software

• System integration and synchronization

• Real-time vs offline image analysis

Module 3: Lighting for Machine Vision

• Role of lighting in image quality and accuracy

• Lighting types: backlight, coaxial, ring, dome, structured

• Selecting lighting for material/surface types

• Techniques to reduce glare and enhance contrast

Module 4: Hyperspectral & Infrared Imaging

Hyperspectral Imaging:

• Principles, cameras, and data handling

• Applications: material detection, food inspection, quality control
  Infrared & Thermal Imaging:

• LWIR, MWIR imaging basics

• Uses in predictive maintenance and thermal diagnostics

• Integration with existing machine vision systems

Module 5: Machine Vision for Measurement and Inspection

• Dimensional measurement techniques

• Surface defect detection and classification

• Pattern matching and object recognition

• Case studies from automotive, electronics, and pharmaceutical sectors

Module 6: Optical Character Recognition (OCR)

• Industrial OCR: applications and challenges

• Text detection, segmentation, and recognition

• Dealing with fonts, lighting, and rotation

• Deep learning-powered OCR solutions

Module 7: AI & Neural Networks in Machine Vision

• Introduction to neural networks and AI in image processing

• CNNs (Convolutional Neural Networks) for vision tasks

• Training, validating, and deploying AI models

• Use cases: object detection, defect classification

Module 8: Multivariate Statistical Analysis

• Basics of multivariate data and correlations

• PCA (Principal Component Analysis) for image data

• PLS (Partial Least Squares) for prediction

• Integrating machine vision data with SPC (Statistical Process Control)

Module 9: Practical Workshop & Case Studies

• Hands-on with MV tools and real-world systems

• Live demos: defect inspection, OCR, thermal imaging

• Analysis of hyperspectral datasets

• Using HALCON, MATLAB, OpenCV, and LabVIEW

Module 10: Final Project / Assessment (Optional)

• Group or individual vision system project

• Practical test: solve a real-world machine vision challenge

• Certificate of Completion (optional)

Course Duration

24 Hours Total

• 12 Online Sessions

• Flexible Part-Time Schedule

Included Materials

• Detailed course slides and reference handouts

• Sample image datasets (standard, hyperspectral, OCR)

• Access to trial versions of software tools where available

Key Benefits

• Gain practical skills in industrial machine vision

• Understand the integration of hardware, software, and AI

• Learn how to build, test, and deploy real-world vision systems

• Boost your technical profile with a professional certificate

Enroll Today to unlock the power of vision-based automation and inspection technologies.