Neural Network-Based Vision and Signal System for Industrial Quality Control

Objective

A modular hardware platform will be developed consisting of digital signal processor boards for the host. This platform will interface to both matrix and line-scan cameras and to other sensors. A decision-making unit will also be implemented. The main emphasis will be on neural network algorithms, together with a tool for designing complex application systems.

The quality-control platform will be tested and evaluated in three demonstrator applications. One of these concerns the quality control of natural products (i.e. wood surfaces) and the two others concern the quality control of man-made products (i.e. potentiometer curves and car engines). The former will use vision-based sensing, while the two others will use signals from other sensory modes.

Fields of science

• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › sensors › optical sensors
• agricultural sciences › agriculture, forestry, and fisheries › forestry
• natural sciences › computer and information sciences › artificial intelligence › computational intelligence

Programme(s)

• FP3-ESPRIT 3 - Specific research and technological development programme (EEC) in the field of information technologies, 1990-1994

Topic(s)

Data not available

Call for proposal

Data not available

Funding Scheme

Data not available

Coordinator

KJAERGAARD INDUSTRI AUTOMATIC

Address

Grundtvigsvej, 6
8723 Loesning
Denmark

Participants (2)

HEMA ELEKTRONIK

Germany

Address

Röntgenstraße 31
73431 Aalen

MIMETICS

France

Address

6 Lacepede
75005 Paris