Sensor? Housing? Lens holder?
Plug orientation? It´s your choice!
The uEye LE USB 3. 1 Gen 1
ORIEN TATION MIC OP TION
USB TYPE-C USB POWER DELIVERY OPTION: LENS HOLDER WIDE RANGE OF SENSORS
Industrial inspection with Cyth Systems’ Neural Vision
identifying different defect classes is therefore no longer neces-
sary. In the industrial machine vision environment, deep learning
is mainly used for classification tasks which appear in many appli-
cation areas, e.g., in the inspection of industrial goods or the recog-
nition of components.”
MVTec also published a video ( http://bit.ly/VSD-MVT) of a
MERLIC-based machine vision solution reading use-by dates with its
deep-learning based “Read Text and Numbers” tool, which now sup-
ports OCR based on deep learning.
Another company developing deep learning software is Cyth Systems
(San Diego, CA, USA; www.cyth.com). Neural Vision is designed for
users with no machine vision experience to inspect and classify products. In traditional machine vision systems, a programmer chooses an
analysis algorithm to apply to an image, such as hole detection, temperature analysis, or width measurement to inspect an image and determine good or bad parts.
As the system is fed images of relevant objects and told either what
unique parts are, or if what it is seeing is good or bad, it applies millions
of algorithms to learn to identify what is being seen. By showing the
system a wide range of variation such as lighting, shadows, and environments, it will learn to understand what features are important or not
important to identify a part.
“Cyth has worked in AI for several years and it’s been remarkable to
see how recently the technology has reached a new level of usability
in the machine vision space. Once a proper inspection environment
is in place, Neural Vision allows users with no machine vision experience to have complete control of their inspection needs,” said Andy
Long, CEO, Cyth Systems.
As companies such as these develop deep learning software and
software tools, and as more and more users deploy them successfully
in their applications, deep learning could be something that becomes
increasingly popular and prevalent in the marketplace.