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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.

Funding Scheme

THN - Thematic network contracts

Coordinator

DKI PLAST A.S
Address
Erhvervsparken 7
Gadstrup
Denmark

Participants (8)

DELPHIS IT LIMITED
United Kingdom
Address
83 Kirkby Folly Road
NG17 5HP Sutton In Ashfield, Nottinghamshire
IMAGE SCAN HOLDINGS PLC
United Kingdom
Address
Pera Innovation Park, Nottingham Road
LE13 0PB Melton Mowbray
INDUSTRIAS TOMAS MORCILLO, SOCIEDAD LIMITADA
Spain
Address
Pol.ind. Del Mediterraneo, Avda. Del Mar S/n, Parc. 15
46550 Albuixech (Valencia)
MINDGROUP APS
Denmark
Address
Ordrupvej 70 A, 1. Tv.
2920 Charlottenlund
OSAUEHING D-CODEX
Estonia
Address
Mustamaee Tee 55
10621 Tallinn
PERA INNOVATION LIMITED
United Kingdom
Address
Pera Innovation Park - Melton Mowbray
LE13 0PB Melton Mowbray
PLASTINDUSTRIEN I DANMARK
Denmark
Address
H.c. Andersens Boulevard 18
1553 Copenhagen
POLYFA TRADING A/S
Denmark
Address
Bredgade 56
1260 Copenhagen