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1). On the
one hand the CAD data is used to generate approximate
values for the later edge detection in the images. On the
other hand the data represents the nominal shape of the
object used for the quality check.
Besides photogrammetric measurement the system
should also be able to archive images and measurement
results according to standards in quality assurance (DIN
EN ISO 9000 ff.).
Production line N NS
50m 50m
Figure 2: Principle system setup
1.3 Solutions
Figure 2 shows the principle system setup. One or more
cameras are mounted above the production line. The
system controller receives a signal and a part
identification code from the production controller in order
to start the measurement.
The objects are assumed to be flat enough for a single
image compilation. If at least four control points are given
each image can be rectified onto the reference plane of
the control points using the well-known perspective
transformations:
y.2ot4 xta y
LG Ak Ca x
yoboth x+b, y
ICH
Equation (1) may only be used if the images have no
distortion effects. Therefore the image coordinates x,y
have to be corrected by the parameters of interior
orientation which have to be calibrated in advance.
2 SYSTEM CONCEPT
2.2 Hardware Components
Image acquisition is performed by a standard Ye“ CCD
video camera (European video standard CCIR, 25Hz, 768
X 572 pixel, frame transfer). It is equiped with a standard
TV lens (f=8mm) which is not designed for high-quality
photogrammetric purposes. The camera is protected
against dust and oil by a closed camera housing.
The analog video signal is transfered to the computer
system (NT workstation, Pentium-2, 128 MB RAM) which
consists of a video frame grabber ITI AM-VS. The
digitized images can be displayed in real-time either on a
video monitor or directly as a window in the graphical
user-interface.
*
A
4 diffuse reflectors —— — — ——
Figure 3: Diffuse illumination technique
Object illumination is performed by 300 W halogene
spots. The light sources are used for indirect light
reflection in order to generate a bright diffuse illumination
(Figure 3). Direct light sources would yield to bright spots
on the object surface, thus leading to CCD overflow in the
sensor. In addition the optical representation of object
edges is better with diffuse lighting.
Figure 4: Testfield with control points
243