Paper Info
Title
A real-time visual inspection system for automated prescription dispensing
Abstract
We present an image processing system that is designed to confirm the correctness of automated prescription orders, without any special pill handling or barcodes, using only a PC equipped with a frame grabber and an overhead camera. Training consists of averaging several categories of features (color, shape, texture, glossiness, and markings) from multiple image samples of each target pill type. During online operation, this system extracts sets of features from the sample pill image and eliminates pill types from the candidate list whose features are outside certain tolerances from the expected target pill. If there is exactly one candidate left, and that candidate is the target pill type, then the sample is accepted as correct. If there is more than one candidate left, or if the target pill type has been pruned out of the candidate list, then the sample is sent to pharmacists for manual verification
Year
DOI
Venue
2000
10.1109/ICSMC.2000.885055
SMC
Keywords
Field
DocType
automatic optical inspection,feature extraction,image recognition,pharmaceutical industry,real-time systems,least mean squares,automated prescription dispensing,automated prescription orders,color spaces,curve fitting,frame grabber,image processing system,manual verification,online operation,overhead camera,pharmaceutical inspection,pharmacists,real-time visual inspection system,target pill type,color space,image processing,shape,indexing terms,pharmaceuticals,least mean square,inspection,real time systems
Computer vision,Visual inspection,Automated X-ray inspection,Computer science,Correctness,Pill,Image processing,Feature extraction,Artificial intelligence,Frame grabber
Conference
Volume
ISSN
ISBN
1
1062-922X
0-7803-6583-6
Citations 
PageRank 
References 
0
0.34
1
Authors
4
Name
Order
Citations
PageRank
Brian Moore100.68
Hobson, G.200.34
Waldman, G.300.34
Wootton, J.400.34