3DCOMPLETE
Efficient 3D Completeness Inspection
| Coordinatore | PROFACTOR GMBH
Organization address
address: IM STADTGUT A2 contact info |
| Nazionalità Coordinatore | Austria [AT] |
| Totale costo | 1˙126˙817 € |
| EC contributo | 862˙408 € |
| Programma | FP7-SME
Specific Programme "Capacities": Research for the benefit of SMEs |
| Code Call | FP7-SME-2010-1 |
| Funding Scheme | BSG-SME |
| Anno di inizio | 2010 |
| Periodo (anno-mese-giorno) | 2010-09-01 - 2012-11-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
PROFACTOR GMBH
Organization address
address: IM STADTGUT A2 contact info |
AT (STEYR-GLEINK) | coordinator | 62˙237.91 |
| 2 |
METRIA DIGITAL S.L.
Organization address
address: PARQUE TECNOLOGICO DE ASTURIAS - EDIFICIO CEEI contact info |
ES (LLANERA) | participant | 348˙912.80 |
| 3 |
IT+ROBOTICS SRL
Organization address
address: CONTRA VALMERLARA 21 contact info |
IT (VICENZA) | participant | 304˙405.50 |
| 4 |
ARDORAN OU
Organization address
address: "HELTERMAA, PUHALEPA VALD" contact info |
EE (HIIUMAA) | participant | 122˙991.50 |
| 5 |
UNIVERSITA DEGLI STUDI DI PADOVA
Organization address
address: VIA 8 FEBBRAIO 2 contact info |
IT (PADOVA) | participant | 16˙128.00 |
| 6 |
FUNDACION PRODINTEC
Organization address
address: Avenida Jardin Botanico - Parque Cientifico y Tecnologico Zona Intra 1345 contact info |
ES (Gijon) | participant | 7˙733.09 |
| 7 |
UNIVERSIDAD DE OVIEDO
Organization address
address: Calle San Francisco 3 contact info |
ES (OVIEDO) | participant | 0.00 |
Mappa
Word cloud
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
Obiettivo del progetto (Objective)
'In Europe there are about 3000 SMEs working in the field of machine vision. These SMEs provide services and products to another 300.000 SMEs in the machine building and automation sector. One important application of machine vision is quality control and in particular checking the completeness (presence/absence of parts, correct type, position, orientation, …) of assemblies. Existing systems usually apply 2D cameras that provide a monochrome or color image. These images lack the information of depth and consequently have problems when dealing with non-rigid objects (hoses, cables) or low contrast between background and part and they often do not provide an optimal view on each single part of the assembly. This project aims at developing efficient 3D completeness inspection methods that exploit two different technologies. The first one is based on calculating arbitrary views of an object given a small number of images of this object, the second one aims at combining 3D shape data with color and texture information. Both of the technologies will cover the full chain from data acquisition via pre-processing to the final decision-making. They will focus on using standard hardware to create a cost efficient technology. The participating SMEs all have substantial resources for R&D and long experience in their own research activities, however, in order to develop 3D completeness inspection they want to subcontract RTD performers working in image acquisition, 3D/2D data combination and pattern recognition/matching. 3D Completeness inspection is a technological gap in the machine vision market. The SMEs expect substantial growth from entering into this market by integrating this new technology in their range of existing products. They expect a total additional turnover of more than 3 Mio EUR per year. Furthermore, this technology will strengthen the European machine vision market with its 3000 SMEs.'