TY  - JOUR
T1  - Implementation of Stand-Alone Embedded Image Processing Device
AU - Lee, Ho Young AU - Jeong, Heon 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 3
SP  - 760
EP  - 765
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.760.765
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.760.765
KW  - Embedded-based
KW  -image processing device
KW  -inspection program
KW  -character recognition
KW  -process
KW  -vision inspection
AB  - 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.
ER  -