Part recognition

• Reduces mix-ups of parts during manufacturing
• Speeds up part identification

Input(s):

• 3D Models (STL, STEP, Native CAD)
• Cameras with edge computing capabilities

Main feature(s):

• Train AI model on a limited set of virtual images of 3D model

Output(s):

• Part ID

• The functionality is still limited
• The system must still be “pressure tested” on robustness.
• The result is hardware specific

AM users and service bureaus.

• Different business models can be applied : license, pay-per-use …
• OEM contract