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.