期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：6
页码：981-984
DOI：10.35629/5252-0306831837
语种：English
出版社：IJAEM JOURNAL
摘要：India is currently working through a phase of health crises with the way the waste is being treated becoming a major concern for the majority of the population. A significant amount of people are forced to work closely with the waste due to the pretense of earning a living to support their families, working closely or even living close to waste dumps, exposed sewage systems can have a very major impact on one’s health-giving rise to diseases like asthma, tuberculosis, etc. One of the major factors leading to the everincreasing amount of waste is the malfunctioning of the waste management system, if we can increase the robustness of how the waste products are managed this can lead to a significant decrease in problems related to improper waste disposal plus it also provides concerned parties with time to further develop policies for proper disposal and recycling of waste products. This project focuses on the second part of making the waste management system more robust with the help of deep learning more precisely using image recognition and object recognition. The current system of waste management in practice is not up to the industry standards which has led to the increase in the dumping of waste products without proper treatment or proper pre-processing. We have numerous amounts of active non authorized land-fills which give rise to so many diseases and lead to not only cause harm to human health but also our natural environment. This paper presents a Waste Management system based on the concept of the identifying a given waste product into different categories using the concept of Deep Learning. The paper focuses on both concepts of Image classification as well as object detection.
