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Part recognition
- Project
- 17010 SAMUEL
- Description
- Reduces mix-ups of parts during manufacturing
- Speeds up part identification
- Contact
- Michel Janssens, Materialise
- michel.janssens@materialise.be
- Technical features
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
- Integration constraints
- The functionality is still limited
- The system must still be “pressure tested” on robustness.
- The result is hardware specific
- Targeted customer(s)
AM users and service bureaus.
- Conditions for reuse
- Different business models can be applied : license, pay-per-use …
- OEM contract
- Confidentiality
- Public
- Publication date
- 27-09-2022
- Involved partners
- Materialise (BEL)