Abstract:
Sorting plays a critical role in manufacturing processes as it ensures that products meet specific
quality standards and specifications before being shipped to customers. However, traditional
sorting methods often rely on manual labor, which can be time-consuming and prone to errors.
To address this issue, we propose a real-time, fully automated sorting system that employs
artificial intelligence and modern hardware techniques to handle the sorting process quickly and
accurately.
In this project, we implemented a fruit sorting system that sorts and categorizes fruits into four
categories and detects rotten fruits. Our ultimate goal is to deploy our sorting system as a
standalone sorting line in real factories, helping these facilities save time and money by
automating the sorting process in real time without human intervention. We believe that our
system has the potential to revolutionize the way sorting is done in manufacturing and contribute
to the development of a more efficient and sustainable supply chain.
The results of this project indicate that our proposed sorting system has been successfully
developed and tested, providing fast and accurate sorting without the need for human
intervention. The potential impact of this system on the manufacturing industry is significant, as
it provides a more efficient and sustainable supply chain. We are confident that the
implementation of this system in real factories has the potential to transform sorting methods in
the manufacturing industry.
