DocumentCode
2658763
Title
Implementation of SCADA system for unsought tablets detection through morphological image processing
Author
Baig, Hasan ; Ikram, Muhammad Mansoor ; Shamim, Kamran ; Akbar, Ahmed Taha ; Hassan, Ahmed
Author_Institution
Dept. of Electron. Eng., NED Univ. of Eng. & Technol., Karachi
fYear
2008
fDate
23-24 Dec. 2008
Firstpage
493
Lastpage
500
Abstract
Pharmaceutical industries which are intended for the packaging of different tablets in a strip of blister need to make sure that the tablets are free from defects before letting them go into the packing box. The purpose of this paper is to introduce an efficient, reliable and cost effective supervisory control and data acquisition (SCADA) system for detection and removing of unwanted tablet(s) strips. The system detects defective tablets by capturing image of a batch of tablets and performs morphological analysis over it. If a defective tablet is found, the system is smart enough to trace in which strip the defective tablet would be present after cutting of batch and hence instructing the remote terminal unit (RTU) to remove that strip. The status of the whole process at the completion of every order is sent to master terminal unit (MTU) which generates and saves the log file on MS-EXCEL, and is also able to send the log file to main server via electronic mail.
Keywords
SCADA systems; image processing; medicine; object detection; pharmaceutical industry; production engineering computing; MS-EXCEL; SCADA system; defective tablet; image capture; master terminal unit; morphological image processing; pharmaceutical industry; remote terminal unit; supervisory control and data acquisition system; unwanted tablet strip detection; unwanted tablet strip removal; Costs; Electrical equipment industry; File servers; Image analysis; Image processing; Packaging; Performance analysis; Pharmaceuticals; SCADA systems; Strips; LabVIEW; Morphological Image Processing; SCADA;
fLanguage
English
Publisher
ieee
Conference_Titel
Multitopic Conference, 2008. INMIC 2008. IEEE International
Conference_Location
Karachi
Print_ISBN
978-1-4244-2823-6
Electronic_ISBN
978-1-4244-2824-3
Type
conf
DOI
10.1109/INMIC.2008.4777789
Filename
4777789
Link To Document