Abstract

Smart factory is quickly becoming the new reality in the market, and every innovative manufacturer must embrace it to stay competitive.

Abstract

Currently, the manufacturing industry is experiencing a data-driven revolution. There are multiple processes in the manufacturing industry and will eventually generate a large amount of data. Collecting, analyzing and storing a large amount of data are one of key elements of the smart manufacturing industry.

Abstract

Since customer attention is increasing due to growing customer health awareness, it is important for the perishable food supply chain to monitor food quality and safety.

Abstract

A carsharing service can be seen as a transport alternative between private and public transport that enables a group of people to share vehicles based at certain stations. The advanced carsharing service, one-way carsharing, enables customers to return the car to another station.

Abstract

In the future, one of the key essential functionality of smart factory is reconfigurable manufacturing. Collecting, analyzing, and monitoring large amounts of sensor data are becoming a key enable technology to implement reconfigurable manufacturing.

Abstract

This paper proposes an eye state detection system using Haar Cascade Classifier and Circular Hough Transform. Our proposed system first detects the face and then the eyes using Haar Cascade Classifiers, which differentiate between opened and closed eyes.

Abstract

The reconfigurable manufacturing is an essential functionality of smart factories in the future. In order to implement such reconfigurable manufacturing; collecting, analyzing, and monitoring large amounts of sensor data are becoming a key enable technology.