Error detection in 3D printing production processes

Problem definition

Error detection and inspection during the production process can ensure the quality of 3D printed products.

Goal

Monitor industrial 3D-Print production processes via vision-based AI learning method to enable early detection of anomalies.

Solution expertise

Trained convolutional neural networks (Mask R-CNN) are used for visual error detection and achieving high degree of generalization with only small amount of training data.

Test bed

Real-world setup as a basis for different industrial applications.