A probability approach in cans identification

Yulia Resti,Amrifan S Mohruni,Ali Amran,Irsyadi Yani,Firmansyah Burlian,I Iskandar,L.N Komariah,T.E Agustina,I Yani,S Ismadji,S Hasyim

doi:10.1051/matecconf/201710103012

Abstract

The objective of this study is to identify can waste into three types based on the images by using a probability approach of trinomial distribution in term regression. Predictor variables considered are the color intensity of red, green, and blue of the images taken at the top, down, and side pose successively. From an independence test between each of the predictor variable and can waste type noted that only the color intensity of red which the image taken at top pose that does not correspond to the can waste types. Based on the Nagelkerke value is found that the variance of the predictor variable data in identifying the can waste type is able to explain the variance of the types of 59.1 percent. The final model show that the significant predictor variables are the colors intensity of green and blue which the image taken at the top pose, the color intensity of red which the image taken at down pose, and the color intensity of red, green and blue which the image taken at side pose successively. The model can identify cans waste into three types based on the images correctly by 73.13%.

Highlights

Aluminum cans are the most widely recycled solid waste in the world
From the results of extracting color intensity of red, green, and blue of the images of cans waste types, we obtain the value of intensity of red, green, and blue is quite varied
For identification cans waste based on the colors intensity of red, green and blue, we employed the probability approach; trinomial distribution in term regression as described in Sec.2, where predictor variables X1, X 2, X 3 denote color intensity of red, green, and blue which the image is taken at top, X 4, X 5, X 6 denote color intensity of red, green, and blue which the image is taken at down, and X 7, X 8, X 9 denote color intensity of red, green, and blue which the image is taken at side successively

Summary

Introduction

Aluminum cans are the most widely recycled solid waste in the world. A lot of energy is taken to make them, throwing away one aluminum can wastes as much energy as pouring out half a can of gasoline, and if aluminum cans are thrown in a landfill, it takes between 100-500 years for just one aluminum can to decompose [1]. Solid waste management, especially recycling based on automatic sorting system is a major challenge for large cities in developing countries [2]. Worldwide production for all beverage cans is approximately 52 billion units. An aluminium can is a container for packaging, made primarily of aluminum. It is commonly used for foods and beverages and for products such as oil, chemicals, and other liquids. A common 12ounce-size can weigh 15 grams when empty

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Conclusion