DocumentCode
1613429
Title
Binocular automatic particle inspection machine for bottled medical liquid examination
Author
Jifei Fang ; Yaonan Wang ; Chengzhong Wu
Author_Institution
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
fYear
2013
Firstpage
397
Lastpage
402
Abstract
Automatic Particle Inspection Machine (APIM) is capable of detecting visible impurities in ampoules and penicillin bottles. However, for Large Volume Parenteral (LVP), Dynamic Background Interference and Narrow Depth of Field problems mostly lead to failure using traditional monocular inter-frame difference algorithm. In this paper a binocular inspection algorithm and system based on monocular machine is proposed to overcome those disturbances. The binocular inspection system only changes the pose of cameras without increasing hardware costs and the algorithm employs an efficient sequential-image-stereo matching method to achieve real-time online inspection. Experimental results of inspection comparison between monocular and binocular for alarm rate and omission rate show detection validity even if the blurred parts due to the disturbance cannot be distinguished from its own background by monocular method.
Keywords
automatic optical inspection; bottles; computer vision; pharmaceutical technology; production engineering computing; stereo image processing; video cameras; binocular automatic particle inspection machine; bottled medical liquid examination; cameras; dynamic background interference; impurities; monocular interframe difference algorithm; monocular machine; penicillin bottles; realtime online inspection; sequential image stereo matching method; Cameras; Geometry; Inspection; Interference; Light sources; Liquids; Transmission line matrix methods; binocular; foreign particle; inspection machine; medical liquid;
fLanguage
English
Publisher
ieee
Conference_Titel
Chinese Automation Congress (CAC), 2013
Conference_Location
Changsha
Print_ISBN
978-1-4799-0332-0
Type
conf
DOI
10.1109/CAC.2013.6775767
Filename
6775767
Link To Document