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Utilising Intelligent Image Analysis for Industrial Inspection

(MASTERCLASS IN EMERGING MANUFACTURING TECHNOLOGIES)

Introduction

In today’s rapidly evolving manufacturing landscape, artificial intelligence has become essential in addressing the growing challenges of achieving precise product quality control. By leveraging AI, industries can overcome limitations in resolution, speed, and sensitivity that traditional inspection methods often face. As products grow more complex and materials advance, AI-driven solutions are revolutionising inspection techniques. These include high-resolution X-ray computed tomography (XCT), flexible online optical imaging, hyperspectral and multimodal imaging, ultrasonic testing, lidar, and bioimaging, enabling smarter, faster, and more reliable quality assurance processes.

This 3-day MasterClass is designed to provide professionals with the latest knowledge and hands-on experience in advanced imaging and intelligent inspection technologies. Led by experts from A*STAR SIMTech and ARTC, the masterclass draws on years of research and successful collaborations with local industries to deliver a comprehensive and practical learning experience to the participants. Regardless of whether you work in manufacturing, quality control, or R&D (research and development), this programme will empower you to select and implement the best AI-driven inspection solutions for your specific challenges.

What You Will Learn

Session 1: Vision Systems – Key Components & Design
- Gain an understanding of the fundamentals of vision systems, including the selection and design of cameras, lenses, and system components.
- Learn how to build effective and reliable inspection setups.
Session 2: High-Resolution X-ray & CT Imaging
- Delve into both 2D and 3D X-ray imaging, learning how to utilize XCT for applications such as defect detection, internal metrology, and porosity analysis.
- Explore real-world use cases and applications.
Session 3: Advanced Image Processing
- Examine foundational and advanced image-processing techniques that have proven effective in solving complex inspection challenges.
- Discover how to enhance image quality and accuracy in demanding environments.
Sessions 4 & 5: AI, Hyperspectral Imaging & Multimodal Spectroscopy
- Learn how AI-driven technologies, hyperspectral imaging, and multimodal spectroscopy are transforming industries’ approaches to feature classification and inspection.
- Understand their strengths, limitations, and ideal application scenarios.
Session 6: Real-World Problem Solving & Hands-On Training
- Participate in interactive problem-solving sessions where you’ll address real-world inspection issues and apply your knowledge in a hands-on lab environment. This session is designed to reinforce key concepts and give you the confidence to implement solutions in your own workplace.

Who Should Attend

This MasterClass is ideal for professionals across various industries who are involved in quality control, product integrity, and inspection processes. Whether you are a quality control specialist ensuring compliance, an R&D engineer advancing product development, or a manufacturing engineer looking to optimise production, this programme will offer invaluable insights into cutting-edge non-destructive inspection technologies. Testing and Inspection specialists will benefit from the latest advancements, while researchers and academics can explore emerging trends to drive innovation. Managers and decision-makers will gain the knowledge to make informed choices about adopting new inspection technologies. Designed for both beginners and experienced professionals, this masterclass aim to provide a comprehensive learning experience tailored to diverse roles and expertise levels.

PROGRAMME AGENDA

Day 1

(Session 1: Morning session)

Optical Inspection Systems
- Key Components in Machine Vision Systems (Imaging, Illumination, Detector)
- Lighting Technologies
- Machine Vision Technologies for Industrial Applications (Case-study-based)

(Session 2: Afternoon session)

X-ray Inspection Systems
- Fundamentals of X-ray 2D imaging: Core Principles
- X-ray Computed Tomography (XCT): Principle and Typical System
- Typical Modern X-ray Systems and Main Applications for Defects Detection, Porosity Analysis, Fiber Analysis, and Foam Analysis
- Measures to Improve XCT Quality and Reduce Artefacts

Day 2

(Session 3: Morning session)

Advanced Image Processing Technology
- 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

(Session 4: Afternoon session)

AI Image Processing and Classification
- Fundamentals of AI
- Image processing and feature classification using neural networks
- Typical applications of AI in machine vision
- Limitations and trends of AI

Day 3

(Session 5: Morning session)

Industry Applications with Intelligent Image Analysis
- Hyperspectral Imaging
- Multimodal Spectroscopy
- AI and Machine Learning

(Session 6: Afternoon session)

Hands-On / Brainstorming
- Tour of SIMTech Optics/X-ray Facilities
- Intelligent Product Verification Workshop

Trainers' profile

Professor Paul Murray is a leading scholar from the University of Strathclyde, UK, with over 100 academic publications across critical areas such as Image Processing, Video Processing, Hyperspectral Imaging, Signal Processing, Artificial Intelligence, Machine Learning, Deep Learning, Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), Operational Neural Networks (ONNs), Vision Transformers, Remote Visual Inspection, Super Resolution, Image Stitching, Image Segmentation, Data Classification, Compressive Sensing, and Feature Extraction. His remarkable expertise has led to the development of innovative solutions in signal, image, and video processing that cater to diverse application domains, including remote visual inspection, nuclear plant operations, advanced manufacturing, agri-tech, health-tech, and cultural heritage preservation. Dr Murray has also been instrumental in securing more than £7 million in research and industrial project funding, which has facilitated the creation of multiple software solutions now utilised on an industrial scale. He leads a team of highly skilled researchers who are pioneering cutting-edge data processing solutions, harnessing the power of artificial intelligence (AI) and machine learning (ML) to drive advancements and deliver impactful results.

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 Li Xiang Leon is the Section Manager for Optical System with A*STAR SIMTech. His research areas include dimensional measurements, defect inspection by AI and image processing, interferometry, wavefront sensing, fibre sensor and bioimaging. His research outputs have been applied in sectors of semiconductor, precision engineering, construction and biomedical.

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 course is $2,800 before funding and prevailing GST.

Nett Course Fee

International Participants	Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders	Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and older (MCES) ²	SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$3,052	$915.60	$355.60	$355.60

All fees are inclusive of GST 9%.

Remarks

Participants may not be eligible for subsidies if they have already attended a MasterClass under the same title.

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.

ENHANCED TRAINING SUPPORT FOR SMALL & MEDIUM ENTERPRISE (SMEs) SCHEME (ETSS)

The ¹Enhanced Training Support for Small & Medium Enterprises (SMEs) scheme (ETSS) is for company-sponsored participants who are subject to the eligibility criteria shown below:

SMEs that meet all of the following eligibility criteria:

Registered or incorporated in Singapore
Employment size of not more than 200 or with annual sales turnover of not more than $100 million

SME-sponsored Trainees:

Must be Singapore Citizens or Singapore Permanent Residents.
Courses have to be fully paid for by the employer.
Trainee is not a full-time national serviceman.

Further Info: This scheme is intended for all organisations, including non-business entities not registered with ACRA e.g. VWOs, societies, etc. Only ministries, statutory boards, and other government agencies are NOT eligible under Enhanced Training Support for SMEs Scheme. Sole proprietorships which meet all of the above criteria are also eligible.

SKILLSFUTURE MID-CAREER ENHANCED SUBSIDY (MCES)

The ²SkillsFuture Mid-Career Enhanced Subsidy (MCES) is meant for employer-sponsored and self-sponsored Singapore Citizens aged 40 years old and above.

SkillsFuture Credit

All Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit (Opening SkillsFuture Credit and One-off SkillsFuture Credit Top Up) which can be used to offset course fees (for self-sponsored registrations only).

For more information on the SkillsFuture funding schemes you are eligible for, please visit www.skillsfuture.gov.sg

How course fees are calculated

TYPE	CATEGORY OF INDIVIDUALS
	International Participants	Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders	Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above	SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders)
	FUNDING SOURCE
	Not applicable for SkillsFuture Funding	SkillsFuture Funding (Baseline)	SkillsFuture Mid-career Enhanced Subsidy (MCES) ²	SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
Full Course Fee	$2,800	$2,800	$2,800	$2,800
SkillsFuture Funding	Not Applicable	($1,960)	($2,520)	($2,520)
Nett Course Fee	$2,800	$840	$280	$280
GST 9%	$252	$75.60*	$75.60*	$75.60*
Total Nett Course Fee Payable to Training Provider	$3,502	$915.60	$355.60	$355.60

* 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

Registration

Please register for this course through our Course Registration Form for Public Classes.
For the first question, please select "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

Module	Skills Course Reference Number	Next Intake(s)'s Training Period (Click on the dates to view its schedules)	Registration Status
Utilising Intelligent Image Analysis For Industrial Inspection (MasterClass in Emerging Manufacturing Technologies)	TGS-2024045280	16, 17 & 22 Jan 2025 (Venue: CleanTech Two, Block B)	The Jan 2025 intake is closed for registration.

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