Hands-On Workshop

Use AI to Analyze Complex Defect Detection Tasks
24 Sep 2020 | 13:30 - 16:30
Online via ZOOM

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Event Outline

Nowadays we've seen a lot of AI technology is disrupting a conventional way, including a manufacturing line. Automated Inspection are adopted in many industries widely e.g. flaws/scratch detection on the manufactured surfaces such as metallic rails, semiconductor wafers, short shot injection mold, etc.

In this hands-on workshop, you will learn how to adopt Automated Inspection for scratch detection on a metallic surface using MATLAB with AI vision & Deep Learning technique.
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Highlights

Automated Inspection workflow from scratch to success, includes;
  • Data access and Preprocessing techniques.
  • Image semantic segmentation and Labeling of defects and abnormalities.
  • Train neural network to detect defect using in-built GUI application.
  • Defect detection using Grad-CAM or other Deep learning technique.
  • Deploying to multiple hardware platforms such as CPUs and GPUs board.
     
     
    No installation of MATLAB is necessary.
    Participants are advise to use windows PC to attend our workshop. The Remote Desktop Protocol on Azure cloud will be provided on the day of the event. 

Terms and Conditions:

  • This workshop is exclusive for new sign-ups from commercial sector with complete details given.  Web-based emails or incomplete particulars will not be accepted.

  • Due to the limited availability of seats, early registration is strongly recommended to ensure your participation.

  • Registration will be confirmed upon your receipt of the confirmation, on a first-come-first-serve basis.

  • Should you wish to cancel your registration, please inform us in writing to th-events@ascendas-asia.com

  • Ascendas Systems reserves the right to reschedule or cancel the event due to unforeseen circumstances. Every effort, however, will be made to inform participants of the change.

 

The Trainer

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Supamith Sutharojana
Application Engineer Team Lead

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