02/ What can be achieved?
Using AI for automated detection of production defects allows for reduced production cost, speed and accuracy.
03/ The problem
04/ Opportunity for deep learning
05/ How is the AI model implemented?
06/ Data requirements
07/ Test it yourself
08/ Where to learn more?
09/ Related content
Using Images to detect defects in manufactured parts
In-depth blog post about automated defect detection and the business value of using deep learning in manufacturing.
Detecting defects in mass produced parts
Follow this tutorial to learn how to use the Peltarion platform to build an image classification model to detect faulty parts in a production line.
Customer story /
Using AI for complex quality assurance within Industrial 3D printing
Peltarion has been working with the Industrial 3D printing company Amexci to create a proof of concept around quality control and now you can be a part of that too.