Labeling by spiral codes for invariant recognition of garbage bags

From ISLAB/CAISR
Title Labeling by spiral codes for invariant recognition of garbage bags
Summary Labeling by spiral codes for invariant recognition of garbage bags
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TimeFrame
References
Prerequisites Image Analysis: Grade 4 or 5
Author Josef Bigun
Supervisor Josef Bigun
Level Master
Status Open

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Goal: To design spiral codes and recognition method of different fractions of garbage bags at arbitrary orientation on conveyor belt of recycling station

The work includes synthesis of spiral labels for 4 to 8 fractions of recyclable materials sorted into plastic bags by households. Here fraction means a recyclable material. For example food remnants, plastics, cartons, metal, colored glass, and uncolored glass are different fractions. The purpose is to increase gain of material via recycling, reducing the environmental footprint. The key element of the environmental contribution is to make recycling easy for households as the number of fractions increases while this should not increase the (human) work at garbage collection trucks and recycling stations. Households, will thus use differently labeled bags for different fractions and put filled bags into the same garbage container. Currently, color is used as label, limiting the number of fractions and performance of the correct recognition in comparison with shape based labels. In some municipalities the household containers have different compartments for each fraction but this increases the complexity of collection and transportation, resulting in larger footprint on the environment. The work includes bag pattern prototyping, data collection, and computer vision software prototyping. The project is suggested by Bigsafe Technology AB.