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

 

 

What to expect

After attending this workshop, the participants will be able to: 

  • - Accelerate workflow using interactive app to explore, prepare the data and label the images 
  • - Augment images for AI modeling 
  • - Deal with unbalanced dataset 
  • - Preprocess, segment and extract features from images 
  • - Build AI model to do anomaly detection and object detection 
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Automated Visual Inspection

Topics

24 Sep, 2pm to 5pm
Utilizing Image Processing and Artificial Intelligence for Automated Visual Inspection

Automated Visual Inspection (AVI) systems are widely used in manufacturing and quality control to detect defects or ensure product consistency. However, there are several challenges associated with implementing and optimizing these systems, such as complexity of defects; diverse product types; data management and processing; environmental conditions; algorithms and model performance; cost and scalability. 

 

The integration of AI with image processing techniques is revolutionizing automated visual inspection due to several key advantages: 

  • - Significant reduction in manual intervention 
  • - Enhanced scalability and maintainability 
  • - Lowering of overall operational costs 

 

This hands-on workshop will walk you through the complete workflow from labeling and data preparation, image preprocessing, segmentation, feature extraction, and AI modeling.  


Who should attend: 

Scientists, engineers, domain specialists, and managers who need to do product quality testing, develop inspection algorithms, explore automation strategies, and optimize inspection speed.  

Time 

Topics 

1:30 PM – 2:00 PM  

Registration 

2:00 PM – 2:10 PM 

Overview to Image Processing and AI for Automated Visual Inspection 

2:10 PM – 2:20 PM 

Using Apps to Accelerate Data Preparation Workflow 

  • - Region Analyzer 
  • - Registration Estimator 
  • - Image Labeler 

2:20 PM – 2:30 PM 

Machine Learning Approach for Defect Classification 

  • - Unsupervised Learning 
  • - Supervised Learning 

2:30 PM – 3:15 PM 

Hands-on session with computers: 

  • - Data Preparation 
  • - Automated Image Labeling 

3:15 PM – 3:45PM 

Coffee Break

3:45 PM – 4:00 PM 

Anomaly Detection using Deep Learning 

  • - Prepare training data and calibration data 
  • - Train a model to produce anomaly scores 
  • - Calibrate the model and evaluate the performance of the model 
  • - Classify test images  

4:00 PM – 4.30 PM 

Hands-on session with computers: 

- Anomaly detection using a one-class fully convolutional data description network 

4:30 PM – 5:00 PM 

Q&A and wrap up 
Automated Visual Inspection

Our Speakers

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.
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.

 

 

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