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Content archived on 2024-05-24

Fault Identification & Rectification Intelligent Computer Vision System

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.

Call for proposal

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Coordinator

DKI PLAST A.S
EU contribution
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Address
Erhvervsparken 7
GADSTRUP
Denmark

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Participants (8)