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SICK MLG-2 ProNet - Object Recognition; Beams Highlighted in Color in the Simulation

SICK MLG-2 ProNet
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Output settings
General options for switching outputs see "Advanced settings for the outputs",
page 124.
8.3.2 Object recognition
The MLG-2 memorizes the pattern of configured or defined objects. The output
switches when the MLG-2 recognizes objects or gaps with the configured size.
NOTE
The maximum number of beam status changes may not exceed the half number of
beams, but at least 16 and a maximum of 120.
Defining an object automatically
You can define the object to be detected automatically.
Place the object(s) in the detection area of the MLG-2.
Then click Teach-in object.
The size of the objects and the size of the gaps between the objects are shown in the
simulation. The sizes can be further adjusted afterward.
Manual configuration
In the simulation, you can determine the size of the object(s) by selecting corresponding
beams.
Figure 99: Beams highlighted in color in the simulation
The blue beams in the Simulation area represent the object; the beams shown in
turquoise are the tolerance.
Settings for automatic and manual configuration
Select one of the following settings for object recognition:
Static
An object will be recognized if it is in the exact location in which the object was
configured or automatically defined. This also applies to multiple objects, e.g., the
feet of a pallet.
CONFIGURATION WITH SOPAS ET 8
8018748.1Q3I/2024-12-18 | SICK O P E R A T I N G I N S T R U C T I O N S | MLG-2 ProNet
113
Subject to change without notice

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