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TECHNOLOGY EXPERT
Steinert’s AI-driven solu tions deliver greater
sorting reliability
learninG from machineS
This improvement has come about through
software and the latest developments in the
field of machine learning, especially in artificial
neural networks.
Machine learning is the ability of algorithms to
acquire information without being explicitly
programmed to do so. In its most basic form,
data can be analysed by the machines in order
to learn recognition and distinguishing fea-
tures on their own and then – in the example
above – to come to a conclusion about any sili-
cone cartridges present.
The optimum precondition for this training is
comprehensive and detailed data. Since hyper-
spectral imaging (HSI) technology was intro-
duced in 2012, Steinert has been generating
this data and uses it today to create the train-
ing conditions for algorithms which set the bar
in this industry.
The data also allows users to sort better and in
the long term develop digitalisation strategies,
for example, in collaboration with customers
and suppliers. Users can then be provided with
the best possible sorting result without having
to configure any parameters themselves or
deal with the programming.
loGical evolution
This is exactly how the latest expansion of the
UniSort PR, the UniSort PR EVO 5.0, came
about. The model has been put through its
paces in practical trials since the start of 2019
and is the next logical step in the evolution of
sorting machines.
It is also a showpiece of modern technology
and robust engineering work. Alongside a host
of individual improvements, the latest iteration
features a design that is much easier to main-
tain and delivers advanced sorting results.
Dynamic calibration monitors the spectrum of
the belt lighting, which is changing all the time
in response to external factors, and does so
without interrupting the sorting process.
Revamped light boxes ensure improved detec-
tion in the long term while also simplifying
maintenance.
Coupled with software updates that are being
developed all the time, optimised valve blocks
then guarantee a consistently precise separa-
tion of the waste flow. An optional automatic
white balance reduces the intensity of mainte-
nance, eliminating further manual stages,
thereby improving staff management and mak-
ing new levels of flexibility possible.
fit for the future
The UniSort PR EVO 5.0 reflects Steinert’s
years of experience gained from several
UniSort generations and the huge amounts of
data that have been processed. This forms the
basis for further advances in sorting perfor-
mance and also optimising processes in the
value-added chain. This in turn enables users
to respond flexibly to changing material flows.
It also helps them recognise and – most impor-
tantly – tap into these new potentials.
UniSort PR EVO 5.0 reflects Steinert’s years of
experience gained from several generations of
UniSort technology and mass data processing.
UniSort PR EVO 5.0 is the fifth evolutionary stage of the NIR sorting machine with HSI camera technology.
The first application of AI-supported object detec-
tion, the Intelligent Object Identifier, specialises in
the detection of silicone cartridges to deliver PE
products free of silicone residue.
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