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Material Classification of Recyclable Waste using the Weight and Size of Waste

机译:使用废物的重量和大小对可回收废物进行材料分类

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Nowadays, insufficient landfills problem had increased the needs to decrease the waste and recycling them. However, despite the efforts done by the government and local authorities on promoting recycling culture by introducing new laws and regulations, the awareness and willingness among the community is still low. One of the possible reasons to this is lack of effort to categorize the waste into the designated category which are paper, glass, plastic and metal. In order to address this problem, it is important to design a system that will ease the process of categorizing the waste. This can be achieve by the automation of the said process. In this work, a system consist of an algorithm and hardware to automatically categorize recyclable waste is proposed. The proposed system are utilizing weight sensor and ultrasonic sensors in order to capture the characteristics of the waste item, which are weight and size so that it can be categorized into paper, glass, plastic and metal. Here, an algorithm to compensate minimum usage of hardware, namely the type and number of sensors is presented.
机译:如今,填埋场不足的问题增加了减少废物和回收利用的需求。但是,尽管政府和地方当局通过引入新的法律法规在推广回收文化方面做出了努力,但社区的意识和意愿仍然很低。造成这种情况的可能原因之一是缺乏努力将废物分类为纸张,玻璃,塑料和金属等指定类别。为了解决这个问题,设计一个简化废物分类过程的系统很重要。这可以通过所述过程的自动化来实现。在这项工作中,提出了一种由算法和硬件组成的系统,用于对可回收废物进行自动分类。所提出的系统利用重量传感器和超声波传感器来捕获废物的特征,即重量和大小,以便可以将其分类为纸张,玻璃,塑料和金属。这里,提出了一种补偿硬件最少使用量(即传感器的类型和数量)的算法。

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