Assembly operations, part inspection and quality control are a few key elements for effectiveness in manufacturing for different types of industries; for this reason, we are dedicating this number of our eNewsletter to an innovative solution from Telemecanique Sensors to face such challenging applications: the new OsiSense XUW Vision Sensor. Read more...

1. Assembly operations, part inspection and quality control
are a few key elements for effectiveness in
manufacturing for different types of industries; for this
reason, we are dedicating this number of our eNewsletter
to an innovative solution from Telemecanique Sensors to
face such challenging applications: the new OsiSense
XUW Vision Sensor.
Continue reading below to learn more about the
characteristics of this solution and how it could be
integrated to your application.
Contact your Local Sensor
Specialist today to learn more
about this and other detection
solutions for your applications.
If you would like to update your profile click here.
The
new OsiSense XUW
Vision
Sensor's typical
applications include
presence or absence,
orientation or position,
sorting, or integrity of
products/parts. These
applications appear
frequently in the
automotive, packaging, material handling, assembly
machines, and food and beverage market segments.
- Integrate it easily in your machines
 A compact size (65 x 45 x 45 mm) which
enables easy installation at the point where the
parts must be checked.
- Reduce configuration time
 Configure the sensorin only 3 simple steps.
- Evolve with your production
 The use of 5 mixable interface tools allows
adding up to 64 simultaneous checks on a part
and the capability to register up to 64 programs
in the XUW sensor memory.
Your Local Sensor
Specialist
Please contact
Steve Renwick or
Jason Baumal
Sensor Refresher
What is the operating
principle of the OsiSense
XUW Vision Sensor?
Answer>
Success story 1
Background: A
manufacturer of parts and
equipment for commercial
trucks required a solution
for part inspection after the
manual assembly and
before the welding process
of an exhaust pipe for
trucks.
Problem: They needed to
make sure that different
parts such as mechanical
supports and other locks
were in place before
transferring the part to the
welding zone.
Solution: The solution for
this application was the new
OsiSense XUW Vision
Sensor from
Telemecanique Sensors.
By using 4 simple pattern
matching tools they were
able to confirm the
presence the correct
positioning of all parts in the
exhausting pipe before
starting welding process.
Success story 2
Background: A system integrator required a solution for a well known food manufacturer. They
needed to detect good-shaped chocolate cookies versus broken or incomplete cookies on a
conveying line before reaching the packaging area.
Problem: The problem relies in the fact that the cookies, besides having a relatively irregular shape

2. they are also present in different orientation patterns when traveling on a conveyor having to check
20 cookies per second.
Solution: The new OsiSense XUW Vision Sensor is ideal for this type of applications. Using the
correct lighting accessory and the right embedded tools for parts inspection (gray scale and
contrast comparison) we were able to differentiate complete cookies from broken cookies and have
only quality product in the packaging area.
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Sensor Refresher
What is the operating principle of the OsiSense XUW Vision Sensor?
First of all, an application needs to be identified and evaluated to make sure it is suitable for the
vision sensor; then, the criteria to differentiate “good” parts from “bad” parts needs to be defined.
Next, the vision sensor is configured via intuitive software (CD-ROM included or downloadable
software from website). An image of the “good” part is taken and the parameters to reject “bad”
parts are set and saved in the sensor’s memory.
Once this step is done, the PC is no longer required and the inspection results are obtained via
discrete outputs or Ethernet IP network connection.
Download the OsiSense XUW catalogue or contact your Local Sensor Specialist to get more
information.
Visit TLA for more information.