With the acceleration of urbanization, the amount of garbage has skyrocketed. This makes
the burden of sorting waste by manual means heavier and heavier, resulting in a large …

The aim of the present work is to design and develop an AI/IoT-based trash monitoring
system to stop the overflow of dustbins by proper monitoring of the level of garbage and to …

The accurate classification of landfill waste diversion plays a critical role in efficient waste
management practices. Traditional approaches, such as visual inspection, weighing and …

A rapid rise in inhabitants across the globe has led to the inadmissible management of
waste in various countries, giving rise to various health issues and environmental pollution …

IGC (Intelligent Garbage Classifier) is a system for visual classification and separation of
solid waste products. Currently, an important part of the separation effort is based on manual …

The internet of things (IoT) paradigm roles an important play in enhancing smart city tracking
applications and managing city procedures in real time. The most important problem …

The expansion in populace has prompted gigantic increment in the contamination also. It
may peeve numerous relentless diseases for the people. For eliminating or alleviating the …

In this modern-day, the garbage issue still has not been resolved and it is getting worsen
until people are less concerned about it. Besides that, some people were not educated …

Waste management is a major issue with the emerging growth in the world population, and
we need to find efficient ways to recycle and reuse waste. Segregating waste has become a …

To study the application of deep learning in the field of environmental protection, the
convolutional neural network VGG16 model is used to solve the problem of identification …