Garbage detection and 3D spatial localization play a crucial role in industrial applications,
particularly in the context of garbage trucks. However, existing approaches often suffer from …

Trash screens are used to prevent debris from entering critical parts of rivers. However,
debris can accumulate on the screen and generate floods. This makes their monitoring …

As autonomous driving is quickly becoming a reality, the most considerable challenge with
self-driving remains safety, as the car must process surroundings to make the correct …

This paper introduces TrashInst, an innovative fully convolutional single-stage anchorfree
real-time instance segmentation model designed specifically for the detection of floating litter …

Microplastic particles produced by non-degradable waste plastic bottles have a critical
impact on the environment. Reasonable recycling is a premise that protects the environment …

Coconut shell are the raw material for making high-quality charcoal briquettes, and their
quality dramatically affects the quality of the final product. Therefore, assessing and …

This paper discusses the development of an advanced deep learning framework for
combating the problem of segregating plastic waste. The proposed approach aims to …

At the moment, 2.01 billion tons of solid trash are produced annually in all cities throughout
the world. Based on research findings, a typical person generates approximately 0.74 …

Object detection plays a vital role in remote-sensing dataset which trains the image or things
and helps in classifying the images into its classes. Instance segmentation is the avant …

The management of waste is of utmost importance in the preservation of the environment
and the promotion of sustainable development. The importance of garbage sorting is …