TY  - JOUR
T1  - The Detection of Spoiled Fruits on a Conveyor Belt Using Image Processing Techniques and OPC Server Software
AU  - Ayan, Onur
AU  - Demirez, Duygu Zeynep
AU  - Kiziloz, Huseyin Kagan
AU  - Inci, Gizem
AU  - Isleyen, Seckin
AU  - Ergin, Semih
PY  - 2018
DA  - March
Y2  - 2018
DO  - 10.22399/ijcesen.398335
JF  - International Journal of Computational and Experimental Science and Engineering
JO  - IJCESEN
PB  - İskender AKKURT
WT  - DergiPark
SN  - 2149-9144
SP  - 11
EP  - 15
VL  - 4
IS  - 1
LA  - en
AB  - Quality plays a key role inthe marketing of vegetables and fruits. There is a reason that the agriculturalproducts you see in the store usually aren’t rotten. Someone at a sortingfacility has already looked over all the products coming in from the fields,and taken out the spoiled ones. This method does not exactly meet the standardsof quality and it causes time and labour force loss. Moreover, it has seen thatthe use of conveyor belt systems are increasing rapidly in today’s industry.These systems, designed to meet the developing needs of the industry, are usedto categorize objects with different characteristics. This research wasconducted to develop a system for detecting the rottenness on apples on aconveyor belt using image processing techniques, PLC and OPC server.Morphological image processing techniques were used for detecting spots orrottenness emerged on apples and Matlab software was used for image processing.Image processing algorithm developed to detect the characteristics of the apples.Overall conveyor belt system was controlled by PLC. OPC server was used forcommunication between image processing part and controller part. In this study;image processing algorithm, OPC server and PLC algorithm were tested in realtime and results were studied.
KW  - Image processing
KW  - Spot detection
KW  - Quality control
KW  - Fruit defect detection
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UR  - https://doi.org/10.22399/ijcesen.398335
L1  - https://dergipark.org.tr/tr/download/article-file/439408
ER  -