Machine Vision

lynxherringΤεχνίτη Νοημοσύνη και Ρομποτική

18 Οκτ 2013 (πριν από 3 χρόνια και 5 μήνες)

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Machine Vision



“Machine vision is the application of computer vision to industry and
manufacturing. Whereas computer vision is mainly focused on machine
-
based image
processing, machine vision most often requires digital input/output devices and computer

networks to control other manufacturing equipment such as robotic arms. Machine vision
is a sub
-
field of engineering that encompasses computer science, optics, mechanical
engineering, and industrial automation”(Wikipedia,
http://en.wikipedia.org/wiki/Machine_vision
).

“Computers do not 'see' in the same way that human beings are able to. Cameras
are not equivalent to human optics and while people can rely on inference systems and
assumptions, co
mputing devices must 'see' by examining individual pixels of images,
processing them and attempting to develop conclusions with the assistance of knowledge
bases and features such as Pattern recognition engines. Although some machine vision
algorithms have

been developed to mimic human visual perception, a number of unique
processing methods have been developed to process images and identify relevant image
features in an effective and consistent manner” (Wikipedia,
http://en.wikipedia.org/wiki/Machine_vision
).

Machine vision is used in many different areas such as manufacturing, medical
image processing, and biometrics. “Biometrics are concerned with the identification of
an individual based on th
eir unique physiological or behavioral characteristics. These
include (but are not limited to) a person's fingerprint, iris print, hand, face, voice, gait or
signature” (
http://www.biometricsinstitute.org
). These characteristics “
are compared via
sensors against a computer system's stored values for that characteristic. The advantages
of biometrics are that they cannot be lent like a physical key or forgotten like a password.
A leading concern in the dev
elopment of such applications, however, is how to avoid
rejecting valid users or approving impostors. Such devices would be applicable for
security systems at banks, offices, and Internet network applications”
(
http://science.jrank.org/pages/4051/Machine
-
Vision
-
Applications.html
).


The website of the Biometrics Institute provides useful information for those
interested in this field. The Biometrics Institute is a non
-
prof
it organization that was
founded in July 2001 in Australia. The Institute’s members are “government and
business users of biometric services and products” (
http://www.biometricsinstitute.org
).
The site
describes what Biometrics are, how they can be used, privacy issues, how to
obtain training in Biometrics, and where to network with other professionals working in
the field.

The mission of the Biometrics Institute is to “(1) promote the responsible and
et
hical use of biometrics, including due consideration to privacy concerns, (2) to provide
a forum for discussion about biometrics between members, potential users and vendors,
(3) to educate and inform members, business and the community, (4) to promote the

development and awareness of standards, benchmarks and test regimes for the industry,
and (5) to provide policy input to governments in partnership with members and key
stakeholders” (
http://www.biometric
sinstitute.org
).