Optisk sopsortering med spiralkoder

Sammanfattning: This thesis is a study of possible applications for a technology based on “spiral codes” applied in the field of waste sorting. The report shows the development and reading of spiral codes through image analysis, and studies for the results of the technique in practical tests. Today, food waste is separated from other household waste using an optical technique that distinguishes the garbage bags with respect to color. The concept is called “Gr¨ona p˚asen”(Green bag) as the bags for food waste are colored green. We examine the posibilty to identify the contents and origin of the bag by printing different spiral codes on garbage bags and using image analysis, to identify the contents and origin of the bag. The result from lab environment shows a correct identification of garbage bags of 100 % with 6 identities. For each analyzed garbage bag, on average 29.56 printed spiral codes were found on the garbage bag with a correct identification of each spiral code of 92.04 %. Which results in a correct identification of the garbage bags at 99.9 % with only three found spiral codes.