MIR AI Camera, Getting Started

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4. Comissioning
MiR AI Camera Getting started (en) 09/2019 - v.1.0 ©Copyright 2019: Mobile Industrial Robots A/S. 28
Example tar-
get objects
Correct labeling Incorrect labeling
Robots and
vehicles All robots or vehicles of the same
type go under a product specific
label.
Example: MiR100 , MiR200 , AGV
robot , forklift
All robots go under the same
label, or each individual robot
receives its own label.
Example: Robots , Sarah's
forklift , MiR100 1 , MiR100 2
Carts and
shelves All carts or shelves of similar size
and appearance can be
categorized under one label.
Example: medicine shelf , blue
cart
All cart and shelves go under the
same label, or each cart or shelf
receives its own label.
Example: medicine shelf 1 ,
medicine shelf 2 , shelves and
carts
4.1. Overview of correct and incorrect use of labels
• Validating
Once you have labeled a target object, MiR AI Training Tool presents other detected tar-
get objects where similarities have been detected. You must validate which detected tar-
get objects should receive the same label. It is important that only images where the
green box correctly frames the target object are validated for training.
Figure 4.1 illus-
trates examples of valid and invalid framing of target objects.