Smart Products Sorting Line Using Computer Vision

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.