| Project | Smart Parts Detector in Manufacturing using Deep Learning |
| Acronym | SmartPartsDetector (SPD) |
| Investigator(s) | Dr. Efstathios Stavrakis (Co-Investigator) Dr. Nicolas Nicolaou (Co-Investigator) |
| Duration | 8 months (Sep 2022 – Apr 2023) |
| Funding |
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| Type | Financial Support to Third Parties (FSTP) |
| Status | In progress |
Partners
 ALGOLYSIS LTD |  ENGINO.NET Ltd |
Summary
We are designing and implementing SmartPartsDetector, a new component for the SHOP4CF EU project, that enables manufacturing SMEs of small parts to optically identify their parts by leveraging state-of-the-art convolutional neural networks (CNN). This fundamental capability can then be used to assist and empower humans by devising a wide range of digital tools, e.g. production quality control software, staff training applications, etc.
Downloads
A python command line tool is available for registered users of the SPD at: https://github.com/Algolysis/spd-ramp-tool
The SmartPartsDetector Component can be found in the RAMP Marketplace: https://ramp.eu/#/component/0fa2c63e-5591-47bc-9ab9-3a9dba42f14c
We are designing and implementing SmartPartsDetector, a new component for the SHOP4CF EU project, that enables manufacturing SMEs of small parts to optically identify their parts by leveraging state-of-the-art convolutional neural networks (CNN). This fundamental capability can then be used to assist and empower humans by devising a wide range of digital tools, e.g. production quality control software, staff training applications, etc.