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Analysis and Classification of Plastic Garbage
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In order to recycle waste it is nessesary to separate it into parts as
exact as possible. Today, a first separation is done by people into
the parts paper/pasteboard, glass, plate, and plastic (Dual System).
The next step in the separation process has to be done
automatically and efficently by machines in order to come to an
economic way of retrieval of raw materials.
Whereas machines for sorting waste are available for paper/pasteboard,
glass, and plate there is no promising solution for sorting plastic waste
into different raw materials.
Optical Recycling starts here:
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Plastic Waste in an X-ray Image |
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Normally, sorting machines are not able to detect contents or enclosed
objects like covers made of aluminium. Therefore plastic waste is
processed by X-ray tomography in Optical Recycling. This
allows us to detect non-plastic materials in the plastic waste. The
X-ray power needed is more the 100 times less the power of a medical X-ray
machine.
Each raw material has a characteristic absorption in an X-ray image.
This property is used by Optical Recycling in order to detect
non-plastic waste and other garbage.
Additionally the classification into plate and plastic has been improved.
Therefore Optical Recycling is able to classify the processed
objects into the different kinds of plastic.
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Plastic waste after classification:
- liquids (green),
- Plate (blue),
- Different plastics (red colors)
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Non-plastic materials and liquids form only one class of problems. The
other class comprise compressed plastic objects build of different
plastic materials. In this case the X-ray image shows a superimposed
signal.
Optical Recycling solves this problem by using tomographic
reconstruction for the object perimeter. An exact calculation of the
shape of the cross section is not neccesary. It is sufficent to state
that compressed objects are shown in the actual image and therefore
a typical classification cannot be performed. The reconstruction is
time efficient and the real-time capabilities of the systems are preserved.
The application of the algorithms used in Optical Recycling
is not limited to the classification of plastic waste. Further work
is done in the field of the detection of explosives in bags, envelops, etc.
comprising the detection of plate in letters and the complex task
of automatic inspection of bags in airports.
Project staff
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