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.<\/p>\n
Downloads
\nA python command line tool is available for registered users of the SPD at: https:\/\/github.com\/Algolysis\/spd-ramp-tool<\/p>\n
The SmartPartsDetector Component can be found in the RAMP Marketplace: https:\/\/ramp.eu\/#\/component\/0fa2c63e-5591-47bc-9ab9-3a9dba42f14c <\/p>\n
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.<\/p>\n","protected":false},"featured_media":18,"template":"","project_funding_agency":[50],"project_partner":[],"project_type":[],"research_area":[46],"class_list":["post-2293","research_project","type-research_project","status-publish","has-post-thumbnail","hentry","project_funding_agency-smart-human-oriented-platform-for-connected-factories","research_area-ml"],"yoast_head":"\n