29 APPLICATION ARTICLES STEMMER IMAGING
www.stemmer-imaging.co.uk Hyperspectral imaging reveals blister
pack contents A hyperspectral imaging system from Stemmer Imaging has been used to inspect blister packs to ensure that they are fully populated with the correct tablets. This application makes use of the fact that a lot of packaging material is transparent to infrared light meaning that the technique can be used to examine product inside its packaging. Organic materials selectively absorb infrared light at different wavelengths depending on their composition. This gives distinctive ‘fingerprints’ which can be used to uniquely identify them. Hyperspectral imaging is a novel imaging approach that utilises spectral information to reveal things that traditional machine vision cannot show – namely the chemical composition of organic materials.
THE C 8
26
PRO fo
OD
NE 6 28–
C materials, rob riia 8 September 2 TH C
COMPL C m
C, Birmingham e
DU TION LIN ad
materials robots and ibots and indus
a g m us
IN s
2017
ODUCTI N NE EVEN or oor processingasi g a
CM ET and packaging
N
g machinery,hinery striallv
vision
LETE m
VEN n
NT
See the latest machinery in action
industry peers Network with
Gain valuable insights at seminars
“A day at the show gives a year of vision” PPMA Show 2016 Visitor
ppmashow.co.uk Organised by
Hyperspectral imaging of paracetamol blister packs The ‘chemical colour imaging’ approach used here produces an image where the
contents are colour coded according to their chemical composition, making it possible to differentiate between different materials. Looking at the images of the blister packs shown here, paracetamol is colour-coded green, while ibroprufen is colour-coded blue. The images clearly show a pack fully populated with paracetamol tablets, one with a tablet missing, and, crucially, one containing a rogue ibuprofen tablet. Cross contamination in a pharmaceutical packing line could have potentially life-threatening consequences for the patient. The implications for the manufacturer could also be massive, both in terms of reputation and in terms of costly product recalls, and possible production line closure while the problem is investigated.
Stemmer Imaging has developed a complete, modular hyperspectral imaging system
for traditional machine vision users, consisting of all the hardware and soſtware needed and which was used in this application. A spectrograph allows the reflected light from the sample to be sorted into its constituent wavelengths and a series of images is built up by sequentially allowing these narrow wavelength bands of IR light from the sample through to an IR-sensitive camera. These images are combined to form a three- dimensional hyperspectral data cube. Flexible, high-speed data processing soſtware extracts data from the complex data cube which is processed in real time to produce an image where the output of each pixel is colour coded according to the chemical composition of the material it is looking at. It is then possible to use standard machine vision colour sorting solutions, making chemical material properties accessible to the machine vision engineer.
THE EVENT WHERE LIGHT TECHNOLOGIES COME ALIVE!
Industrial Imaging
Machine Vision, Inspection Factory Automation
11TH & 12TH OCT 2107 · RICOH ARENA COVENTRY
Co-located Exhibitions. Multiple Conferences.
SUPPORTED BY
Discover the difference
Finda new supplier | Solveissues you have with vision tech | Seelatest developments | Engagesee demos on exhibitor stands | Learnattend “Industrial Vision Works” and "how-to-do-it" type tutorials
Leave the event knowing how to get the best from vision technology!
FOR MORE DETAILS, VISIT THE WEBSITE
www.vision-uk.org
www.ukiva.org
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92 |
Page 93 |
Page 94 |
Page 95 |
Page 96