Even self-programmed vision apps can be queried and executed from any GenICam application
using Smart GenICam like any other camera feature from the manufacturer.
AI-powered image processing
The camera hardware platform is supported by a
parallel working FPGA that can be reprogrammed
at runtime, making the complete data path flexible
to use. With a KI-Vision app developed by IDS, this
integrated FPGA becomes a KI processor capable of
accelerating many well-known architectures of neural
networks.
Artificial neural networks now interpret complex
image content with unreached accuracy and offer
solutions that could not be realized by manual
programming with fundamental algorithms, even
with great effort. Image processing powered by
artificial intelligence begins where classical image
processing struggles. For instance, in order to
continuously reduce error rates in a production
environment, production errors must be detected
and avoided at an early stage. AI-based procedures
provide new, more effective approaches where it is
almost impossible to predict the complete variety
of possible deviations and errors completely. Using
a neural network trained with a large number of
sample images, the camera software can recognize
known features in new image data (feature
extraction). Feature relationships and weights
(feature combination) then allow conclusions
to be drawn about given result classes and their
probabilities. With machine learning it is very easy
to detect deviations (anomalies), classify objects,
check surfaces for quality and defects or verify
printed circuit boards and their assembly.
ยป
TUBE NEWS
July 2019
11