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Identification of parts characterized by infinite geometries & material variation

  • Location: Brainport Industries Campus, Nederland

Service description

By using this AI-driven in-line identification service companies can learn how to deal with challenges related to automation of a post-processing production, characterized by the complexity of an infinitive variety of parts.

This identification service leverages advanced image recognition and AI algorithms to swiftly and accurately identify parts based on their geometry, size, and color after each manufacturing and logistical step. The artificial intelligence capabilities are used to make the match between the digital 3D file and what is ‘seen’ thus identification.
In addition, the system is being re-trained by each part that is being processed.

The results of the test and/experiment will be documented in an evaluation report stating whether the available technology is suitable to identify client’s parts.
If agreed as part of a (tailored) service, a first concept demonstrator will be developed for a new and highly potential use case.
Expected results:

  • Evaluation of ability to leverage existing technology modules to cope a higher variety of parts beyond what is currently possible.

  • The gained knowledge and infrastructure applied to new segments


of applications & SMEs

  • Technology modules enhanced to the most prominent cases.

Methodology:

  • Demonstration of current capabilities

  • Feasibility study assessing SME specific processes

  • Testing and Experimentation with different types of parts, e.g. metal parts or parts of different colors

  • Customization to address new and impactful use cases

Target: User
  • Organisation: Brainport Industries Coöperatie U.A.
  • Type: Experiment, Test
  • SUT/E: Manufacturing workflow automation in high-mix industry
  • Average duration: 0 -- 0
  • Contact: j.bokkerink@brainportindustries.nl

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Co-Funded by the European Union Under grant agreement number 101100707

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Directorate-General for Communications Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.

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