Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
We develop a Stand-alone Embedded-based Image Processing Device (SEIPD) with vision inspection program for customized factory automation. SEIPD designed in this study composed of raspberry pi as main board, I/O board and webcam. Developed image processing devices will act as smart manufacturing applications for product quality management. It is applied to the system which judges the character position and shape printed on the green case what is tire the semi-finished product in the tire manufacturing process as the actual application target of the developed product and determines whether or not the character is normal. SEIPD was developed in a small size to solve the spatial problem. It also designed to be robust enough to withstand less external influences.
How to cite this article:
Heon Jeong and Ho Young Lee. Implementation of Stand-Alone Embedded Image Processing Device.
DOI: https://doi.org/10.36478/jeasci.2018.760.765
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.760.765