Factory Inventory Automation using Industry 4.0 Technologies

摘要

Factory Automation using Industry 4.0 Technologies demonstrates how the upcoming industry technologies like Internet of things, Edge computing, Cloud, Artificial Intelligence, Deep Learning and Machine Learning could be used and integrated to create a use-case for implementation in Factories and other Industries. Nowadays, industries are researching in the lines of how a combination of these technologies could work. Concepts like Dark Factories, Digital Twinning, Robotic Automation for mass manufacturing, Datascience, and integration of AI with the above stated are being talked about and many product/ service based companies are already catching the bus for this revolutionthrough investment in research. Components and inventory logistics management is a challenging problem and this directly affects the efficiency in any industry. The objective of this paper is to provide some innovative solutions to factories and industries in tracking and managing various inventory resources. It aims to replace traditional methods of tracking inventory like register books, excel sheets etc. And instead focuses on how tracking and managing the status of inventory can be implemented in real-time that too remotely. The inventory data is tracked by deep learning systems and processed in an IoT platform that is deployed in a cloud service for ease of access in tracking and further analysis.