GET READY FOR BIG DATA: TOMRA INTRODUCES DEEP LEARNING ADD-ON FOR AUTOSORT MACHINES AT ECOMONDO

06.11.2019

GAIN, TOMRA’s deep learning-based sorting technology, for advanced accuracy of complex sorting
tasks at high throughput rates

TOMRA Sorting Recycling launches a deep learning-based sorting technology named GAIN to further
enhance the performance of its industry-leading sensor-based sorting machines. The GAIN
technology will be made available as an add-on option for the company’s AUTOSORT machines. By
classifying objects from sensor data, GAIN enables the sorting of objects which could previously not
be separated with high levels of purity and without compromising the throughput speed of the
AUTOSORT.

TOMRAs GAIN technology is officially launched on 5th November at the Ecomondo exposition at the
Rimini Exhibition Centre in Italy, the leading event in Europe for all sectors of the circular economy.
To achieve a truly circular economy by eliminating waste and reusing limited natural resources,
technologies such as TOMRA’s sorting solutions will be essential.

Alessandro Granziera, Sales Manager for TOMRA Sorting Recycling in Italy, commented: “By bringing
deep learning to our sorting technologies, TOMRA is adding further sophistication and effectiveness
to its market-leading AUTOSORT sorting machines. The GAIN technology will also help sorting
machines adapt to new waste streams, which will be increasingly important as we move towards a
circular economy.”

Sorting enhanced through deep learning algorithms
Deep learning, as a method of artificial intelligence (AI), enables computers to imitate human
learning. Humans make associations with what they have seen before and what they are seeing now
to identify various objects or materials. Machines are taught to do the same, but much faster.
TOMRA machines have deployed artificial intelligence since the early days of sorting, but this
technology has continually evolved and now GAIN Technology takes it to a new level with algorithms
out of the area of deep learning.

Classical machine learning requires features engineered by a domain expert, whereas deep learning,
which is a subset of machine learning, does not. It learns from thousands of images the particular
types, which should be separated in the sorting task. Deep learning mimics the activity of large
numbers of layers of neurons in the human brain to learn complex tasks. This way, during machine
training, GAIN learns how to connect the artificial neurons to classify objects.

First application is sorting-out silicon cartridges
The first version of the GAIN technology to be released by TOMRA is specifically developed to eject
PE-silicon cartridges from a polyethylene (PE) stream by using camera information. On grounds of
silicon remaining in the cartridges, separating those cartridges from the wanted PE material is
necessary in order to purify the sorting result.
In addition to detecting common forms of silicon cartridges, GAIN can also detect smaller double-
cartridges, mostly used for two-component adhesives, as well as deformed or partly destroyed
cartridges. Thanks to TOMRA’s machines separating materials by air jets, even clustered cartridges
can be sorted out, a task that even the fastest picking robot arms that are currently available on the
market are struggling with.
The new technology was trained for this task with thousands of images and achieves an overall
ejection of 99% of the cartridges using two systems in a sequence.

About TOMRA Sorting Recycling
TOMRA Sorting Recycling designs and manufactures sensor-based sorting technologies for the global
recycling and waste management industry. Over 6,000 systems have been installed in almost 80
countries worldwide.

Responsible for developing the world’s first high-capacity near infrared (NIR) sensor for waste
sorting applications, TOMRA Sorting Recycling remains an industry pioneer with a dedication to
extracting high purity fractions from waste streams that maximize both yield and profits.
TOMRA Sorting Recycling is part of TOMRA Sorting Solutions which also develops sensor-based
systems for sorting, peeling and process analytics for the food, mining and other industries.
TOMRA Sorting is owned by Norwegian company TOMRA Systems ASA, which is listed on the Oslo
Stock Exchange. Founded in 1972, TOMRA Systems ASA has a turnover of around €876m and
employs ~4,000 globally.