Objective
The key aim of this project is to develop an autonomous intelligent hybrid data input Computer Vision based fault identification system to perform real-time product/part inspection and validation at key process stages, integrated with a low cost, intuitive, diagnostic tool enabling low-semi skilled plastics operators to rapidly isolate and rectify causes of faults, underpinned by a case base of faults from plastics processing experts and enhanced by an easy to use tool enabling low-semi skilled operators to augment the core case base with context dependent, application specific cases. This represents a huge advance in current fault diagnostic and rectification techniques.
This project will develop a new fault identification and rectification method, which will have two key applications:
- A fault identification tool for process optimisation in plastics processing;
- A fault rectification tool to minimise machine downtime and reduce waste. The key aim of this project is to develop an autonomous intelligent hybrid data input Computer Vision based fault identification system to perform real-time product/part inspection and validation at key process stages, integrated with a low cost, intuitive, diagnostic tool enabling low-semi skilled plastics operators to rapidly isolate and rectify causes of faults, underpinned by a case base of faults from plastics processing experts and enhanced by an easy to use tool enabling low-semi skilled operators to augment the core case base with context dependent, application specific cases. This represents a huge advance in current fault diagnostic and rectification techniques. This project will develop a new fault identification and rectification method, which will have two key applications:
- A fault identification tool for process optimisation in plastics processing;
- A fault rectification tool to minimise machine downtime and reduce waste.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
GADSTRUP
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.