Banner Engineering's image sensor has
enhanced recognition, communication and rapid changeover capabilities. It can
save up to 30 inspections and the new iVu Plus TG sensor monitors labels, parts
and packaging for type, size, orientation, shape and location. Its color touch-screen display and on-board memory allow fast and easy
installation and application setup without connection to a PC. Ethernet
communication is compatible with most industrial systems.
The iVu Plus TG
has a Sort sensor that can recognize up to ten different patterns within the
same inspection. Applications for this new capability include identifying parts
on a production line and ensuring that all required parts are present in a
package. Other functions included in the unit are:
Area sensor to ensure that some features are present on a part.
Blemish sensor to detect flaws such as scratches or color
Match sensor to verify that a pattern, shape or part is identical
to a reference.
Ease of use is
supported by integrated lighting, adjustable focus lenses, automatic exposure
control and high speed processing. The sensor's housing is rated to IP67 for
use in harsh environments. Industry applications
include packaging, material handling, robotics, assembly, automotive, food processing, pharmaceutical, electronics, metalworking and
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.