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Automated Inspection Systems* (45 HOURS)

Automated Inspection Systems
*This is a non-WSQ module.

Introduction

Automated inspection systems are a significant advancement in manufacturing and quality assurance. This course covers important technologies such as machine vision, optical design, and deep learning. It aims to improve inspection accuracy and efficiency across various industries.

It is ideal for sectors like electronics, automotive, and consumer goods, focusing on ensuring product quality and optimising production. Participants will gain practical skills to design, implement, and evaluate automated inspection systems. The course emphasises the integration of advanced imaging techniques and real-world applications, providing the necessary skills to effectively implement automated inspection systems and drive innovation within organisations.

This course is designed for professionals seeking to enhance their capabilities in machine vision and automated inspection technologies. Join us to establish a strong foundation in automated inspection systems and stay ahead in the rapidly evolving manufacturing landscape!

About the Programme

The “Automated Inspection Systems” course is designed to provide industry professionals with advanced skills and knowledge in machine vision and automated inspection technologies. This comprehensive programme, spanning over 45 training hours, offers a mix of theoretical foundations and practical applications, allowing participants to directly apply their learning to their work environments.

Participants will explore advanced imaging techniques, optical design, deep learning technologies, and more through hands-on sessions emphasising real-world applications.

Key highlights of the programme include:

  • Comprehensive understanding of automated inspection systems and their components.
  • Practical training in imaging system design, implementation, and performance evaluation.
  • Exploration of advanced machine vision techniques, X-ray imaging, and deep learning for defect detection.
  • Hands-on experience with state-of-the-art technologies and tools.

Who Should Attend

This course is highly relevant for a wide range of job roles across various industry sectors, including but not limited to:
  • CEOs and CTOs: To understand the strategic benefits and integration of automated inspection systems in manufacturing operations.
  • Technical Leaders and Engineering Managers: To lead teams in adopting and managing new inspection technologies for improved efficiency and productivity.
  • Production Supervisor/Manager: To optimise manufacturing processes through the implementation of advanced imaging and inspection techniques.
  • Quality Control Manager / Engineer: To enhance their expertise in automated inspection systems and improve product quality assurance processes.
  • Product Managers: To incorporate advanced inspection technologies into product development and ensure high-quality standards.
  • System Designers and Design Engineers: To design and develop efficient and effective automated inspection systems.
  • Software / Machine Learning Engineer: To gain specialised knowledge in applying deep learning technologies for defect detection and inspection.

Course Outline

Course Outline

The course employs a hands-on, practise-oriented approach to ensure participants gain both foundational knowledge and practical skills. Through a blend of lectures, demonstrations, and hands-on sessions, this course provides a comprehensive understanding of advanced imaging, optical design, and deep learning technologies, enabling participants to implement and optimise automated inspection systems effectively.

Key focus areas or applications:

  • Fundamentals of Machine Vision
  • Advanced Optical Design for Machine Vision Applications
  • Implementing 3D Imaging Systems
  • X-ray Imaging Techniques
  • Deep Learning for
  • Vision Inspection
  • Data Preparation and Model Training
  • Practical Demonstrations
  • Case Studies and Industrial Applications

Upon Completion of This Course

UPON COMPLETION OF THIS COURSE

Participants will be awarded with a Certificate of Attendance (COA) by SIMTech and/or ARTC if they meet the following criteria:

  • Achieve at least 75% course attendance;
  • Take all assessments; and
  • Pass the course.

Note: Trainees will have to bear the full courses fee upon failure to meet either one of the criteria.

Pre-Requisites, Full and Nett Course Fees

Pre-Requisites

  • Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.
  • Applicants who do not have the required academic qualifications are still welcome to apply, but shortlisted candidates may be required to attend an interview for special approval.
  • Proficiency in written and spoken English.

Full Course Fee

The full course fee for this course is $4,500 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 above
(MCES) ²
SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$4,905$1,471$571.50$571.50
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.

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

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)

SkillsFuture Credit

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

How course fees are calculated

 
TYPE
CATEGORY OF INDIVIDUALS 
International ParticipantsSingapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and aboveSME-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) ²SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
Full Course Fee$4,500 $4,500  $4,500$4,500 
SkillsFuture FundingNot Applicable  ($3,150) ($4,050) ($4,050)
Nett Course Fee $4,500 $1,350$450 $450
GST 9%
 $405 $121.50* $121.50* $121.50*
Total Nett Course Fee Payable to Training Provider$4,905 $1,471.50 $571.50 $571.50
* Based on 30% of Full Course Fee

Contact Us

  • For technical enquiries, please contact:

Ms Estelle TAY,
Email: estelle_tay@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 "Modular Programmes".
  • 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.

Schedule

Module
Skills Course Reference NumberNext Intake(s)'s Training Period
(Click on the dates to view its schedules)
Registration Status 
  • Automated Inspection Systems (45 hours)
TGS-2024047758The next intake's schedule is still in the planning stage.  

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
FD: Full day
AM: Morning
PM: Afternoon
EVE: Evening