Abstract:
In this modern world any type of detection is an important task. The reason is that in this
20th century anything can be easily found through detection. Among the several types of
identification, trash detection is one of the best tasks. Through trash detection, we can
easily find what kind of trash or unused items are present in our environment. Through
detection, we can also protect our environment from pollution very easily because through
detection, we can easily tell what kind of trash service has what kind of impact on our
environment and how we can take steps against this pollution. Trash products may now be
strictly found and categorized by trash detection systems by using advanced sensors,
machine learning algorithms, as well as computer vision techniques. These intellectual
technologies act as protectors as our cities spread, making sure that responsible trash
management and better-informed decision-making pave the way for a future that is greener.
Although various models have been used for trash Detection, YOLO v5 and YOLO v6
perform well. One of the reasons is that we know that in trash detection we always deal
with real life or real time data and the YOLO model works very well for real life data. This
model provides us with a balance between accuracy and speed and creates them useful for
applications. Finally, we can say that using technology we can easily keep the trash objects
in separate categories and by using any type of complex category we can clean our
environment and find any type of unused things around us. As a result, environment meets
the genuine use Artificial intelligence.
