QVision AS Qm onitor Presentation May 2008 I nnovation in Global - - PowerPoint PPT Presentation
QVision AS Qm onitor Presentation May 2008 I nnovation in Global - - PowerPoint PPT Presentation
QVision AS Qm onitor Presentation May 2008 I nnovation in Global Food Production Content Qvision AS and our ow ners. QMonitor system - how it w orks. Proven applications. Custom er references. Appendix 1. Salmon fillet applications (Fat,
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I nnovation in Global Food Production
Content
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Qvision AS and our ow ners. QMonitor system - how it w orks. Proven applications. Custom er references. Appendix
- 1. Salmon fillet applications (Fat, Colour and Pigment).
- 2. Water content
- 3. Classification
- 4. Example NIR spectre
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I nnovation in Global Food Production
QVision AS w as established in 2 0 0 5 as a spin-off from TiTech, a subsidiary of TOMRA
100% 100%
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Partner R&D. Partner food calibrations.
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Brief introduction of Tom ra
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- Founded in 1972
- Started out with design, manufacture and sale of Reverse Vending Machines
(RVMs) for automated handling of used beverage containers
- Acquired TiTech and Orwak in 2004.
- Today, TOMRA is a global provider of advanced recycling technology
- Active in over 45 markets; most European markets, North America and Japan
- More than 60,000 Machine I nstallations
- Revenues of more than 700 M$ in 2006, EBI T margin of 16,5% .
- Equity ratio of 60% (31.12.06).
- ~ 2,000 employees
- Listed on Oslo Stock Exchange (Ticker: TOM)
- I ncluded in almost all major international socially responsible investment
indices
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Collection Technology (deposit) Revenues: ~ 50% of total Materials Handling Revenues: ~ 35% of total I ndustrial Processing Technology Revenues: ~ 15% of total
TiTech Group constitutes a m ajor part of Tom ra’s I ndustrial Processing Technology division.
Collection Technology (non-deposit)
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Acquired by TOMRA
TiTech in a glance
TiTech is the leading provider of fast high tech sorting system s based
- n NI R technology
1990 Development project initiated 1996 First unit sold
- Germany
1998-9 European expansion 2002 Acquisition of RVS (Germany) 2004
COMPANY HI STORY PRODUCT
Control unit:
Data processing
Scanner and light source:
Detection
Air jets:
Sorting
Optical sorting equipment for automatic sorting of recyclables in Material Recovery Facilities (MRFs)
- Polymers (by type or by colour)
- Beverage cartons
- Paper
MARKET Customers: Plant builders or owners of MRFs Geographies: Sales to 21 countries in Europe, US,
Asia and Australia. 50% of historical sale to Germany. 60-90% market share in all major markets.
Segments: Packaging, RDF and paper.
Several new segments being developed.
Competitors: Three major competitors: RTT
(Germany), Pellenc (France), MSS (USA) 2006 Acquired CommoDaS
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I nnovation in Global Food Production
TiTech & CommoDaS presence
Canada (Subsidiary) Norw ay (HQ) Germ any (Main operation) Spain (Subsidiary) Japan (Distributor) Australia (Distributor) South Korea (Subsidiary) I taly (Agent) Nederlands (Agent) Austria (Agent) UK (Subsidiary) South Africa
( Subsidiary)
France (Employee)
We set up subsidiaries in overseas markets to serve our partners & customers directly
TiTech Group have local presence in 1 4 countries w orldw ide
USA (Distributors)
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TiTech Group - Organogram
TI TECH GROUP Rune E. Marthinussen BUSI NESS DEVELOPMENT FI NANCE AND ADMI NI STRATI ON TECHNOLOGY & SUPPLY CHAI N SERVI CE Divisions
Food Mining Recycling
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QVision’s brief history
March 2 0 0 3 : April 2 0 0 4 : Feb 2 0 0 5 : May 2 0 0 5 : July 2 0 0 5 : August 2 0 0 5 Nov 2 0 0 5 : April/ June 2 0 0 6 : May 2 0 0 7 : Novem ber 2 0 0 7 : Development project by Matforsk and SINTEF using TiTech’s near-infrared (NIR) scanner. Completion of demonstrator for water measurement on dry salted fish (“klippfisk”). Calibration of fat and colour measurement for salmon filet. QVision AS established. Completion of successful pilot test for salmon filet. QMonitor commercially available (fat and colour). First commercial installation of QMonitor. Water and pigment measurement available. First scanner sold to the white fish industry. First scanner sold to the meat processing industry. 8
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Content
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Qvision AS and our ow ners. QMonitor system - how it w orks. Proven applications. Custom er references. Appendix
- 1. Salmon fillet applications (Fat, Colour and Pigment).
- 2. Water content
- 3. Classification
- 4. Example NIR spectre
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I nnovation in Global Food Production
QVisions place in the food production value chain
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Salmon farming and slaughtering Production of
- Wet salted fish
- Dry salted fish
Crab fisheries Slaughter and primary processing of
- Meat products
- Poultry fillets
Etc. Online scanner
QMonitor
Conveyor belt Speed up to 2m/ s
- Salmon fillets
- Salt fish fillets
- Forcemeat
- Pork meat
- Poultry fillets
- Living crabs
- Etc.
- Fat content
- Pigment
- Colour
- Water
- Length
- Spots on surface
- Deformations
- Meat index crabs
- Etc.
- Sorting
- Labelling
- Packaging
End customer Data feedback to production
- Cost optimizing
- Optimize processes
- Quality
- Other
Office system s
- ERP
- QA Systems
- Production and
traceability Other system s
- Signal to grader computer.
- Signal to labelling machine.
- Signal to trimming machines.
- Fine tune water- and fat content.
I ntegration softw are
Rem ote Touch Com puter
- User friendly interface
- Monitoring of scanning
- Analyses and statistics.
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The QMonitor scanner unit can be placed above the existing processing line.
Key features:
- Can be placed above
existing processing line.
- Two spectroscopes
- Easy to operate.
- Easy to maintain and
clean.
- Easy access to all
components.
- Stainless steel.
- Water proof (IP 67).
- Speed up to 3 m / s.
- Easy to integrate w ith
existing production system s. 1 1
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Exam ple of QMonitor integrated w ith grader.
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QMonitor Scale
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Exam ple of QMonitor integrated in a salm on processing line
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User friendly and flexible interface
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The QMonitor m easuring system is based on Transflection
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Conveyor 12 x 50 W, halogen lamps Cylinder optics Adjustable height Illuminated field Transflected field Imaging spectrometer Focusing mirror Black cover
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The m ain principle of transflection.
Product speed: 1m/ s Light from a halogen lamp is dispersing into the object (1-2 cm).
Fat chart Colour chart
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Exam ple NI R Spectre
1 7 760 800 840 880 920 960 1000 1040 Wavelength (nm)
W ater Fat
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The transflected light generates a unique digital m ap
- f the scanned object. Each point on the digital m ap
contains valuable data.
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Exam ple - Dry salted fish
- The m ap is build up by digital points of
1 2 x1 2 m m .
- Each point on the m ap contains a unique NI R*
spectrum .
- By analysing the NI R spectrum at each point
- ne can decide unique features of the object.
- Applications are m ade by com paring the NI R
spectrum up against results from tests in a laboratory.
- E.g. Water content in Dry salted fish.
Digital m ap
* Near Infrared (light in the wavelength from 700 NM up to 2100 NM).
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Content
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Qvision AS and our ow ners. QMonitor system - how it w orks. Proven applications. Custom er references. Appendix
- 1. Salmon fillet applications (Fat, Colour and Pigment).
- 2. Water content
- 3. Classification
- 4. Example NIR spectre
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I nnovation in Global Food Production
Proven applications
1 . Salm on fillets
- Fat content (% )
- Colour (SalmoFan)
- Pigment content (mg/ kg)
- Water (% )
2 . Salted fish
- Water content (% )
- Surface classification
3 . Forcem eat
- Fat content (% )
4 . Sliced pork m eat
- Fat content (% )
5 . Crabs
- Meat index in living crabs
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Content
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Qvision AS and our ow ners. QMonitor system - how it w orks. Proven applications. Custom er references. Appendix
- 1. Salmon fillet applications (Fat, Colour and Pigment).
- 2. Water content
- 3. Classification
- 4. Example NIR spectre
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I nnovation in Global Food Production
- Fat
- Colour
- Pigment
- Water
Applications Value proposition
- Scanner used in R&D projects
for Matforsk customers.
- Scanner used in R&D
projects for Norconserv customers.
- Matlab
- Colour
- Fat
- Pigment
- Water content
- Classification.
- Quality assurance through
individual labeling of high quality salmon fillets/ loins.
- Increased revenues by
finetuning drop loss.
- Reduced warranty costs.
- Reduced labour costs.
- Special application
to classify meat content in living crabs
- Cost reduction.
- Better utilisation of raw material.
- Fat content in
forcemeat
R&D I NSTI TUTI ONS SALMON SALT FI SH CRABS MEAT PROCESSI NG
- Cost reduction by finetuning fat
content.
- Reduced warranty costs.
- Fat content in sliced
porkmeat
- Cost reduction by finetuning fat
content.
- Reduced warranty costs.
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Type of custom ers
Aasheim Kjøtt AS
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I nnovation in Global Food Production
Content
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Qvision AS and our ow ners. QMonitor system - how it w orks. Proven applications. Custom er references. Appendix
- 1. Salmon fillet applications (Fat, Colour and Pigment).
- 2. Water content
- 3. Classification
- 4. Example NIR spectre
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I nnovation in Global Food Production
Forcem eat. On request
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- Qpoint. Ready during 2 0 0 8
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Andreas Bjørge AS. Split Cod
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1 . Salm on filet applications
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5 1 1 5 2 2 5 3 3 5 4 4 5 F is k : 7 F e ttF is k : 1 8 .6 4 9 7 F e ttN Q C : 1 3 .5 4 2 3 2 4 6 8 1 1 2 1 4 1 6 1 8 2 2 2 2 4 6 8 1 1 2 1 4
Possible to m easure fat content
- Of the whole filet (average).
- In different parts of the filet,
- eg. Norwegian Quality Cut
(NQC).
- In smaller defined portions.
- Through plastic films.
Accuracy of + / - 1 % . Speed up to 3 m / s.
5 1 1 5 2 2 5 3 3 5 4 4 5 F is k : 6 F e ttF is k : 2 4 .6 4 3 6 F e ttN Q C : 2 6 .8 2 9 2 2 4 6 8 1 0 1 2 1 4 1 6 1 8 2 0 2 2 2 4 6 8 1 1 2 1 4
- Av. fat content: 14.1 %
- Av. fat content: 21.4 %
Salm on fillet - Fat
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Salm on fillet - Colour
- Colour is classified using the international
standard - LaRouche scale.
- Contains all colours in the visual spectrum
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37.0 41.7 44.7 Average water content (% )
2 . W ater content
- QMonitor m easures average w ater content in
- Wet salted fish
- Dry salted fish
- Salmon fillets
- Accuracy of the method is estimated to + / - 1% .
- QMonitor has the capacity to measure approximately 7 5 fillets per m inute.
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The “Cross section m ethod” is used as reference w hen calculating average w ater content.
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3 . Salt fish applications – Surface classification
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The QMonitor classification m ethod is based on the spectral identity of the surface of the object.
White fish Yellow Liver Blood
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I nnovation in Global Food Production
QMonitor can be used as a tool to detect all types of unw anted spots on the surface.
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S u p e r i
- r
Liver Yellow Blood
U n i v e r s a l
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The QMonitor classification m odule can replace m anual quality classification to a large extend.
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Superior Universal
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Also possible to classify deform ation and holes.
3 6 Hole Blood Un-norm al Norm al
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I ssues that are difficult to solve by NI R/ VI S.
- “Spalting”
- “Gjensittende bukbein”
- “Kveis”