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"Elevating Your Artificial Intelligence Skills with MATLAB and Simulink: A Comprehensive Webinar"

 

 

What to expect

Join our hands-on workshop to discover how low-code tools can simplify and accelerate the development of AI-driven image and video processing workflows. 
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Inspection

Topics

24 Sep, 2pm to 5pm
Explore Low-Code Tools for Utilizing AI in Automated Visual Inspection
Traditional code-based image processing often involves extensive trial and error. Developers need to iterate on images and videos manually, adjusting parameters like brightness and resolution to effectively tune robust AI algorithms. This process can be time-consuming and complex.
Join our hands-on workshop to discover how low-code tools can simplify and accelerate the development of AI-driven image and video processing workflows. Whether you're working in aircraft maintenance, repair, and overhaul (MRO) or quality control/assurance (QC/QA) in manufacturing, this session will equip you with the skills to automate and enhance visual inspection processes using AI.

 

What You'll Learn:

  • Introduction to AI Tools and Techniques: Start with an introductory example that explores image classification, providing an overview of low-code platforms and their capabilities in AI-driven visual inspection.
  • Practical Image and Video Processing Skills: Learn to apply object detection, image registration, and video labeling using a user-friendly, app-based approach. These techniques are essential for creating efficient and accurate visual inspection workflows.
  • Advanced Skills in Automated Visual Inspection: Dive into advanced workflows covering anomaly detection and classification. Learn how to leverage machine learning, deep learning, and domain-specific preprocessing to improve the accuracy and consistency of defect detection.

Time

Topic

1:30 PM – 2:00 PM

Registration

2:00 PM – 2:10 PM

Introduction to AI-Driven Visual Inspection

2:10 PM – 2:20 PM

Exploring Low-Code Tools for Image Classification

2:20 PM – 2:30 PM

Techniques for Object Detection and Image Registration

2:30 PM – 3:15 PM

Hands-on Session with Computers:
 

- Image Classification and Object Detection
 

- Video Labeling and Automated Defect Detection

3:15 PM – 3:45 PM

Coffee Break and Technology Showcase

3:45 PM – 4:00 PM

Advanced Techniques in Anomaly Detection and Classification

4:00 PM – 4:30 PM

Hands-on Session with Computers:
 

- Anomaly Detection in Visual Inspection Workflows

4:30 PM – 5:00 PM

 Q&A

 

[Bring your laptop or use ours for interactive exercises]
Seats are limited for Hands-on Workshop

Our Speakers

ian
 
[Ian Phillip Lowe]

Application Engineer

 
Ian successfully completed his studies in the EPD Robotics Track at SUTD. Following this, he seamlessly transitioned into the position of Research Officer at SUTD, where he demonstrated exceptional proficiency in overseeing and successfully concluding various research projects related to robotics development within ROAR Labs.
Currently, Ian collaborates with clients from diverse industries, applying his expertise in low-code and AI-driven tools to solve complex challenges in automated visual inspection and other applications. His deep understanding of robotics, combined with his experience in utilizing advanced AI techniques, enables him to deliver innovative solutions tailored to the needs of each industry.

 

 

marta
 
[Dr. Marta Patricia Tjoa]
Senior Consultant
 
Dr. Marta is a distinguished Senior Consultant with over 20 years of expertise in leveraging AI-driven technologies for automated visual inspection and other advanced engineering applications. Her extensive experience spans across ASEAN, where she has empowered professionals to utilize low-code tools for data modeling, system dynamics, simulation, and code generation.
Dr. Marta specializes in helping organizations—both commercial and governmental—adopt model-based design strategies for automated visual inspection, battery modeling and management, and embedded software and hardware deployment. Her work includes developing and optimizing AI-based visual inspection workflows to enhance accuracy and efficiency in quality control and assurance processes. She has successfully deployed solutions on diverse platforms, such as TI hardware and AMD FPGAs, demonstrating her versatility in hardware and software integration.

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