2018
DOI: 10.1080/0951192x.2018.1447145
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A visual inspection system of glass ampoule packaging defects: effect of lighting configurations

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Cited by 15 publications
(9 citation statements)
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“…Although the possibility of any error is minimized at every stage of the drug manufacturing process, the risk of producing a drug product with a quality defect always remains. Considerable financial outlays and much attention given to quality have led to the situation where quality defects are detected prior to drug dispensing at a rate of up to 99.6% [ 29 ]. In clinical practice health care professionals play a key role in identifying and rectifying errors before there is a risk of patients being affected by SDs [ 29 – 32 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Although the possibility of any error is minimized at every stage of the drug manufacturing process, the risk of producing a drug product with a quality defect always remains. Considerable financial outlays and much attention given to quality have led to the situation where quality defects are detected prior to drug dispensing at a rate of up to 99.6% [ 29 ]. In clinical practice health care professionals play a key role in identifying and rectifying errors before there is a risk of patients being affected by SDs [ 29 – 32 ].…”
Section: Discussionmentioning
confidence: 99%
“…Considerable financial outlays and much attention given to quality have led to the situation where quality defects are detected prior to drug dispensing at a rate of up to 99.6% [ 29 ]. In clinical practice health care professionals play a key role in identifying and rectifying errors before there is a risk of patients being affected by SDs [ 29 – 32 ]. The World Health Organization indicates that less than 1% of drugs in developed countries and over 10% of drugs in developing countries may be of low quality or counterfeit [ 33 ].…”
Section: Discussionmentioning
confidence: 99%
“…Due to the advantages of machine vision such as non-contact, real-time, automation and intelligence [2] , the use of machine vision and deep learning technology for inspection and measurement in industrial production has gradually become a trend in recent years. It has been widely used in ceramic tile [3] , glass [4] , steel plate [5] , wood products [6] , textiles [7] , agricultural products [8] and other fields.…”
Section: Introductionmentioning
confidence: 99%
“…A relation between specimen mechanical properties and thermographic images for subsurface damage propagation for mechanically quasi-static and cyclic loaded specimens of bonded repairs, temperature and phase differences and an indicator for the damage location was generated by active and passive thermographic methods [4]. In previous work, non-destructive inspection using optical cameras has been utilized for different industrial applications, including pharmaceutical and aeronautical [17,18].…”
Section: Introductionmentioning
confidence: 99%