Garbage Separation Using Object Detection文献综述

 2022-01-07 21:55:24

全文总字数:1763字

文献综述

Organic waste is a type of waste that is easily biodegradable. We have to separate organic waste from inorganic waste. Organic waste can be buried in the soil as fertilizer, while inorganic waste can be recycled. The decomposition of organic waste will occur faster than inorganic waste (widiana 2017)The author conducted an interview with Mrs. Indah as the head of a garbage bank in Pamulang, South Tangerang. Ibu Indah said, there are still many residents who don't care about the condition of the garbage. To provide a solution to this problem, the researchers obtained data from Mrs. Indah as the head of the garbage bank in Pamulang, South Tangerang. which states the importance of making an accurate waste sorting tool in sorting organic and non-organic waste. To be able to make this tool, machine learning assistance is needed, where the use of machine learning is to help process further classified data. The training data consists of a series of examples, where each example is represented as a vector pair of input (feature) and the desired output value (Parmar, Grossmann, Bussink, Lambin, Aerts, 2015). Support Vector Machines (SVM) are used as a related learning algorithm that analyzes the data used for classification and regression analysis. By providing data sets for training. (Cortes Vapnik, 1995).From the results of the analysis, literature study, interviews, the background of the existing problems is that the researcher makes the idea of a system or tool that can automatically sort organic and non-organic waste with the aim of facilitating the work of the environmental service in processing waste around the environment. Therefore, the authors conducted a research entitled "Garbage Separation Using Object Detection"

剩余内容已隐藏,您需要先支付 10元 才能查看该篇文章全部内容!立即支付

以上是毕业论文文献综述,课题毕业论文、任务书、外文翻译、程序设计、图纸设计等资料可联系客服协助查找。