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Technology News

www.read-tpt.com

66

S

eptember

2012

CNN camera for 100 per cent

surface inspection at high speed

QUALITY control in high-speed

production processes poses a challenge

in many industrial areas such as

electronics, medical or automotive.

Tubes, wires or rods produced for

medical,

telecommunications

or

aerospace applications, for instance,

have to comply with high quality

standards. Here, immaculate surfaces

are required for functional or aesthetic

reasons and have to be achieved at very

high production rates. Fraunhofer IPM

has developed an inline measurement

system that guarantees 100 per cent

quality control of surfaces at high

production speeds.

Signal processing and camera speed

are the bottlenecks of a 100 per cent

quality control in such processes. Even

today, many manufacturers of high-tech

materials and components rely on visual

inspection at the end of the production

chain. Defects, which result from used-

up or damaged tools, for instance, may

concern every single work piece of a

whole production batch – which boosts

the reject rate. In this case, an effective

inline-control of production processes is

necessary to identify errors immediately

after they occur in order to be able to

fix the problem in due course. Random

defects such as scratches or disposals

may be reason enough for the customer

to reject the complete delivery. A 100 per

cent surface inspection makes it possible

for manufacturers of wires, tubes or steel

sheet to identify and document errors

and thus reduce the error rate in further

production steps.

The German Fraunhofer IPM, an

institute for applied research with a focus

on optical measurement techniques,

has developed an inline measurement

system, which guarantees 100 per

cent quality control of surfaces at high

production speeds. FlexFormCNN is

the first image based system capable

of completely surveying surfaces at

production speeds in the order of 10m

per second. The inline inspection system

uses pixel-parallel image processing

based on cellular neural networks

(CNN), which allow image evaluation up

to 10kHz.

A recent implementation of the

technology is an inspection system for

wire production, which has just been put

into operation. Typical surface defects

in wire production processes are cross

dents, drawing marks and so-called

chatter marks. Wires with diameters

from 0.4 to 2mm typically show such

defects ranging from a few millimetres

to 50m. Ordinary image processing

systems miss these defects when

inspecting the fast-moving wire surface.

In FlexFormCNN, Fraunhofer IPM has

developed an inline image processing

system which is able to recognise a

50m scratch on a wire whizzing by at

speeds of 10m/s and evaluate it at the

same time. This is possible thanks to

camera-internal pixel-parallel image

processing and a specially adapted

lighting system.

The image processing system relies on

a CNN camera in which each pixel has its

own processor. The camera processes

up to 10,000 images per second at a

176×144 pixel resolution. To inspect

moving surfaces, an image processing

system’s lens must fulfil many criteria:

first, the defects must be shown at such

high contrast and so brightly that the

exposure time is short enough to prevent

blurring. Secondly, both the depth of

field and the optical resolution must be

sufficient for the smallest relevant defects

to be shown sharply over the whole

measurement area. Thirdly, especially

on uneven metallic surfaces, disturbing

reflections must be prevented so that the

light intensity is uniformly distributed on

the object surface. Thus, the right lighting

is crucial for processing images of

moving objects. To guarantee sufficient

light intensity on a defined focal area,

special optics using dark field illumination

and high-power LEDs with a pulse length

of 10 µsec are employed.

Fraunhofer IPM

– Germany

Website:

www.ipm.fraunhofer.de

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