Trainer: Dr Eric Ho Tatt Wei
MS TEAMS (ONLINE)
COURSE SUMMARY
INTRODUCTION
The course teaches the key concepts and working principles of state-of-art machine vision algorithms. The course material covers all major classes of algorithms that are required in a practical and industrial machine vision workflow to perform complex automated inspection tasks. The course focuses on the modern probabilistic algorithms approach which has been demonstrated to give robust and repeatable performance in industrial and practical settings.
Autonomous systems are the key agents that will implement Industry 4.0. More complex automated inspection tasks which are higher in the manufacturing value chain almost always require machine vision algorithms to direct operations of robotic and manipulator systems. This course addresses the critical need in Malaysian industries to upgrade their machine vision implementations towards modern probabilistic approaches which has consistently demonstrated greater robustness, reliability and higher performance on complex automated inspection tasks. The course aims to help engineering employees in Malaysian companies bridge the technology gap by imparting a deep and intuitive understanding of the key concepts and working principles underpinning modern probabilistic machine vision algorithms. The goal is to develop sufficient technological sophistication and versatility in modern algorithms to enable Malaysian companies to transition their machine vision algorithms and products towards more complex inspection tasks and move up the automated inspection value-chain.
Image Preprocessing and denoising
Realistic local-pixel models
Algorithms for identification
Algorithms for shape recognition
Algorithms for temporal object tracking
Higher order vision models for complex object recognition
WHO SHOULD JOIN US TO :
Target Position
Target Location
OBJECTIVES
Upon completion of this course, participants will be able to:
To estimate and assess the performance of state-of-art machine vision algorithms for task-specific automated inspection systems.
1. Dr Eric Ho Tatt Wei
*fee quoted does not include SST, GST/VAT or withholding tax (if applicable)
*fee quoted does not include SST, GST/VAT or withholding tax (if applicable)
Centre for Advanced & Professional Education (CAPE)
Level 16, Menara 2,
Menara Kembar Bank Rakyat,
50470, Jalan Travers,
Kuala Lumpur.
+605 - 368 7558
cape@utp.edu.my