MLG2 Pro - Pallet differentiation via “Object Recognition”
The article explains how to use the MLG2 Pro to differentiate between various types of pallets via "object recognition".
Related Products
MLG10A-1340I1S404 LIGHTGRID
MLG-2
Table of Contents
Task:
Checking different types of pallet
- different sizes
- different No. of foots
- different space between the foots
Example for different pallet types
Questions
- How many pallets (objects) can be saved in the MLG?
up to 4 objects – due to the limitation of internal memory - Which beam function is internally used for the object recognition?
RLC Code - What method can be used for a bigger No. of different types (more than 4)
Reading the RLC Code and saving in PLC, evaluation done by the customer himself
- How many pallets (objects) can be saved in the MLG?
How to teach the pallet via "Object Recognition"
- place the pallet in-between the MLG
please note: the detection height of the MLG must be bigger than the length of pallet
- Select one of the available Q-outputs
proceed as shown below
SOPAS screen shows Teach-image:
- Violet = taught pattern
- Dark green = adjustable tolerance
For customers who do their own RLC interpretation
That offers most flexibility, but requires some programming work.
The Process Data must be configured for RLC-output. The RLC-pattern for each pallet type must be deposited into the PLC.
Example for RLC evaluation with MLG10A-1340 (10mm pitch)
- RLC1 & RLC7 = Pallet has entered when RLC1 & RLC7 > 0
- RLC2 & RLC4 & RLC6 = width of foot (150mm / 140mm / 140mm)
- RLC3 & RLC5 = space between foots (380mm / 380mm)
- RLC8 … RLC16 = keep 0 otherwise there is a plausibility fault
Keywords:
pallet differentiation, object recognition, different types of pallets, RCL interpretation
pallet differentiation, object recognition, different types of pallets, RCL interpretation