.png "Automated Vision Inspection Using Deep Learning")
Artificial intelligence (AI) is rapidly becoming a critical component of engineering systems today. In visual inspection, AI is being used to design and develop smarter ways to detect and classify defects in images and video.
From this hands-on workshop, participants will learn how to apply principles of AI (machine learning, deep learning, domain-specific preprocessing) to visual inspection workflows.
These include:
• Familiarize yourself with MATLAB and AI tools with an introductory example that explores image classification.
• Implementing preprocessing techniques like object detection, image registration, and scene color matching
• Diving deep into an advanced visual inspection workflow that covers anomaly detection and classification.
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Kindly register a MathWorks account before the session - Create MathWorks Accohttps://www.mathworks.com/mwaccount/register?uri=https%3A%2F%2Fwww.mathworks.com%2Fmwaccount%2Funt
To participate in the session, we will be using MATLAB Online. MATLAB Online is a browser-based application that allows users to use MATLAB from any browser. This is a free service, given as part of any MathWorks Account. If you are a student, maybe your campus also has a Campus-Wide License, simply sign up using your university email address.
Rasyiqah Annani Mohd Rosidi
Application Engineer
TechSource Systems
Rasyiqah Annani is an Application Engineer at TechSource Systems, specializing in the domains of Image Processing, Computer Vision, Machine Learning, and Deep Learning with MATLAB. She leverages her expertise to assist diverse clients from various industries in a wide range of projects, including Real-time Object Recognition, Deep Learning and Computer Vision-based detection of manufacturing defects, data forecasting analytics, and multiple image processing endeavors.
To enhance her proficiency, Rasyiqah actively participates in MathWorks training courses covering topics such as robotics, image processing, artificial intelligence applications, and more. Additionally, she supports conducting seminars and workshops catering to both commercial and educational clients across the ASEAN region, with a particular focus on Malaysia and Indonesia
Rasyiqah holds a Master of Engineering Technology (Electrical and Electronics) from Universiti Kuala Lumpur. Her research interests revolve around image processing and computer vision, specifically utilizing artificial intelligence for the classification of medical images.
Claudine Casipit Papag
Application Engineer
TechSource Systems
Claudine is a highly skilled professional specializing in modeling and simulation, verification, code generation, and tool automation using MATLAB/Simulink/Stateflow and cross-software configuration.
Her extensive knowledge and experience in these areas enable her to provide innovative solutions to complex engineering challenges.
With a strong background in sensor fusion and navigation applications, Claudine has developed a deep understanding of autonomous systems and ROS interface. She has leveraged her expertise to effectively integrate various technologies and successfully deploy autonomous solutions for multiple projects.
In her role as an application engineer, Claudine has demonstrated exceptional problem-solving skills. She has a proven track record of assisting customers in resolving their technical issues and overcoming obstacles. Her ability to quickly analyze and comprehend complex problems allows her to provide accurate and efficient solutions tailored to each customer's specific needs.
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