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Utilizing Advanced Imaging and Image Processing for Non-Destructive Inspection in Quality Control, Failure Analysis, and New Material / Product Development

(MASTERCLASS IN EMERGING MANUFACTURING TECHNOLOGIES)

Introduction

Advanced non-destructive inspection such as online optical imaging, high-resolution X-ray computed tomography (XCT), ultrasonic testing array, lidar, and bioimaging have become essential inspection tools in many industries including electronics, life science, automotive, advanced materials, aerospace, and MedTech to address the increasing demand for product quality, cost reduction and shortening the new product development time.

This masterclass is specifically designed based on A*STAR SIMTech and ARTC researchers’ deep understanding of the trends and recent advancements of these imaging and image-processing technologies and our success stories of long-time collaboration with local industries to give participants the must-have insights, knowledge, and hands-on experience to various technologies and their typical applications so that they can choose the most suitable solutions when a particular inspection problem occurs in their workspace.

The 3-day course is carefully structured into 6 sessions.

Session 1 will give an overview of the various advanced imaging technologies, and then focus on optical imaging technologies and their applications.
Session 2 will talk about ultrasonic testing (UT), lidar, and bioimaging. Application-related issues with the technologies will be elaborated through case studies covering the use of UT for Y-shape and T-shape pipe defects inspection, lidar for container damage inspection etc.
Session 3 will focus on high-resolution X-ray 2D/CT imaging and its powerful functions for the metrology of internal features, defects detection, porosity analysis, fiber tensors analysis, foam material analysis, etc.
Session 4 and Session 5 will cover both traditional image processing and AI-assisted feature classification and discuss their respective suitable application scenarios and limitations.
To enhance and deepen the understanding of participants, the final session will arrange discussion and sharing for workspace inspection problems, followed by lab hands-on training.

Why This MasterClass

Learn about the latest advancements of inspection technologies such as automated vision system, high-resolution X-ray 2D/CT, phase array UT, lidar imaging, and bioimaging etc
Choosing the right inspection technology for your specific application needs
Choosing the right image-processing tools to your application
Understand the advantages and limitations of AI for your application needs
Operating principles of modern XCT and deep learning technologies
Learning from case studies of applying advanced vision and X-ray CT for industrial applications

Who Should Attend

CEOs and CTOs, technical leaders, engineering managers, engineering supervisors, product managers
R&D engineers, QC and failure analysis engineers, application engineers, sales engineers, new hires from any manufacturing industry sectors

PROGRAMME AGENDA

Day 1

(Morning session)

OVERVIEW OF NON-DESTRUCTIVE INSPECTION TECHNOLOGIES - By Dr Andy Malcolm and Dr Liu Tong, A*STAR SIMTech
- Optical imaging, X-ray, UT, and Lidar
OPTICAL IMAGING
- Overview of imaging technologies
- Optical imaging
- Optical stereovision
- Lighting and lens design for optical imaging

(Afternoon session)

UT AND BIOIMAGING TECHNOLOGIES - By Dr Luo Hong and Dr Tan Piau Siong, A*STAR SIMTech
- Phase Array Ultrasonic
- Lidar imaging
- Bioimaging

Day 2

(Morning session)

ADVANCE X-RAY IMAGING - By Professor Edward Morton, CTmetrix
- State-of-the-Art 2D and 3D X-ray Imaging (radiography and computed tomography)
- Hardware and Software Considerations
- Commercial and Bespoke Systems for Industry Applications
HIGH-RESOLUTION X-RAY CT APPLICATIONS - By Dr Liu Tong, A*STAR SIMTech
- High-resolution metrology of both internal and external dimensions with Xray CT
- Design and fabrication description evaluation
- Close-to-reality FE modelling with volume meshing of CT data
- Fibre orientation analysis for advanced fibre composites

(Afternoon session)

ADVANCED IMAGE-PROCESSING TECHNOLOGY - By Dr Yin Xiaoming and Mr Jiang Ting Ying, A*STAR SIMTech
- Robust and performance-proven Image-processing technology for complex surface defects detection and wire-tracing
- Practical and high-efficiency image-processing for porosity analysis with 2D Ultrasonic/X-ray images
- Data processing and interpretation for non-visual data (UT and LIDAR)

Day 3

(Morning session)

AI IMAGE PROCESSING AND CLASSIFICATION - By Mr Dong Chaoyu, A*STAR SIMTech and Dr Wang Zhenbiao, A*STAR ARTC
- Typical applications of artificial intelligence in machine vision
- Image processing and feature classification using neural networks
- Machine learning/deep learning

(Afternoon session)

CASE STUDIES, BRAINSTORMING, AND HANDS-ON TRAINING - By A*STAR SIMTech and ARTC Teams
- Success stories sharing and discussion
- Brainstorming for potential problems faced by participants
- Visiting SIMTech X-ray Facilities at CleanTech Two venue
- Participate in ARTC Intelligent Product Verification Workshops at CleanTech Two venue

Trainers' profile

Dr Edward James Morton is an internationally respected entrepreneurial physicist with a proven background in both academic research and commercial R&D. He is an expert in X-ray imaging and was the Chief Technology Officer for Rapiscan Systems, one of the leading global security imaging companies. His 15-year academic career at the Universities of London (UK), Michigan (US) and Surrey (UK) covered fundamental work in oncology imaging (London and Michigan), high-resolution and high-speed three-dimensional tomographic imaging (London and Surrey), advanced imaging and room temperature semiconductor detectors (Michigan and Surrey), image and signal processing (London and Surrey) and Monte Carlo physics modeling for low energy X-rays, gas proportional counters and scintillators (Surrey). Through a spin-out company from his research group at the University of Surrey, CXR Ltd, Dr Morton drove the early design and development of the Rapiscan Systems Explosive Detection Systems product line before moving to deliver the product portfolio now supporting the Rapiscan Systems cargo and vehicle product line. As the Chief Technical Officer (CTO), he led the Rapiscan Systems global Science and Technology team with an annual budget in excess of $11M in a programme that set out to transform many aspects of the Rapiscan Systems detection business. He has authored almost 100 scientific publications and has filed over 600 patents. Currently, he is the Director of CTmetrix Pte Ltd and an Adjunct Professor of Physics at the National University of Singapore.

Dr Liu Tong is the Section Manager for X-ray and Image Processing and Principal Research Engineer with A*STAR SIMTech. He has more than 19 years of experience in researching and using X-ray 2D/CT imaging for industrial applications. Over the years, he has successfully commercialized several patented technologies, like X-ray CT reconstruction for planar objects, automated CT central-ray determination, compact stereovision head, and glass inclusion detection.

Dr Yin Xiaoming received her PhD degree in Computer Vision from the Nanyang Technological University, Singapore in 2002. Since 2001, she has been working at A*STAR SIMTech as a Lead Research Engineer, focusing on algorithm and software development for 2D/3D image processing, x-ray image processing, object detection, defect inspection etc.

Upon Completion

Participants will be awarded with a Certificate of Attendance (COA) by SIMTech and/or ARTC if they achieve at least 75% course attendance.

Full Course Fee

The full course fee for this masterclass is $2,800 before funding and prevailing GST.

Nett Course Fee

International Participants	Singapore Citizens, SPRs or LTVP+ Holders
$3,052	$915.60

All fees are inclusive of GST 9%.

Please note that fees and funding amount are subject to change.

Long Term Visit Pass Plus (LTVP+) Holders

The LTVP+ scheme applies to lawful foreign spouses of Singapore Citizens with (i) at least one Singapore Citizen child or are expecting one from the marriage, or at least three years of marriage, and (ii) where the Singapore Citizen sponsor is able to support the family.

All LTVP+ holders can be identified with their green visit pass cards, with the word ‘PLUS’ printed on the back of the card.

The SkillsFuture Credit cannot be applied to offset the masterclasses' course fees.

How course fees are calculated

TYPE	CATEGORY OF INDIVIDUALS
	International Participants	Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders
	FUNDING SOURCE
	Not applicable for SkillsFuture Funding	SkillsFuture Funding (Baseline)
Full Course Fee	$2,800	$2,800
SkillsFuture Funding	Not Applicable	($1,960)
Nett Course Fee	$2,800	$840
GST 9%	$252	$75.60*
Total Nett Course Fee Payable to Training Provider	$3,052	$915.60

* Based on 30% of Full Course Fee

Contact Us

For technical enquiries, please contact:

Dr LIU Tong,
Email: tliu@SIMTech.a-star.edu.sg

For general enquiries, please contact:

Ms Charlotte LIM,
Email: charlotte_lim@SIMTech.a-star.edu.sg

Brochures and Registration

Registration

Please register for this course through our Course Registration Form for Public Classes.
For the first question, please select Qn1: MasterClasses
Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
Once the next intake is confirmed to commence, SIMTech will contact the applicants to share the class information.

Collaterals

Download brochure

Schedule

MasterClass Title

Training Period

Registration Status

Utilizing Advanced Imaging and Image Processing for Non-Destructive Inspection in Quality Control, Failure Analysis, and New Material / Product Development

(MasterClass in Emerging Manufacturing Technologies)

5 to 7 March 2024

The Mar 2024 intake is postponed. We will publish a new schedule soon.

Note: SIMTech and ARTC reserve the right to change the class/schedule/course fee or any details about the course without prior notice to the participants.

Announcement:

From 1 Oct 2023, attendance-taking for SkillsFuture Singapore (SSG)'s funded courses must be done digitally via the Singpass App. More information may be viewed here.

Sessions

: Full day

: Morning