QVision AS Qmonitor Presentation · Qmonitor Presentation May 2008 ... Completion of successful...
Transcript of QVision AS Qmonitor Presentation · Qmonitor Presentation May 2008 ... Completion of successful...
Innovation in Global Food Production
QVision AS
Qmonitor Presentation
May 2008
» Innovation in Global Food Production
Content
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Qvision AS and our owners.
QMonitor system - how it works.
Proven applications.
Customer references.
Appendix
1. Salmon fillet applications (Fat, Colour and Pigment).2. Water content 3. Classification4. Example NIR spectre
» Innovation in Global Food Production
QVision AS was established in 2005 as a spin-off from TiTech, a subsidiary of TOMRA
100%
100%
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Partner R&D.
Partner foodcalibrations.
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Brief introduction of Tomra
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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 Installations
• Revenues of more than 700 M$ in 2006, EBIT margin of 16,5%.
• Equity ratio of 60% (31.12.06).
• ~2,000 employees
• Listed on Oslo Stock Exchange (Ticker: TOM)
• Included 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
Industrial Processing Technology
Revenues: ~15% of total
TiTech Group constitutes a major part of Tomra’s Industrial 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 systems based on NIR technology
1990
Development project initiated
1996
First unit sold - Germany
1998-9
European expansion
2002
Acquisition of RVS (Germany)
2004
COMPANY HISTORY
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
MARKETCustomers: 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
» Innovation in Global Food Production
TiTech & CommoDaS presence
Canada(Subsidiary)
Norway(HQ)
Germany (Main operation)
Spain(Subsidiary)
Japan (Distributor)
Australia (Distributor)
South Korea (Subsidiary)
Italy(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 14 countries worldwide
USA(Distributors)
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TiTech Group - Organogram
TITECH GROUPRune E. Marthinussen
BUSINESS DEVELOPMENT FINANCE AND ADMINISTRATION
TECHNOLOGY & SUPPLY CHAIN
SERVICEDivisions
Food Mining Recycling
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» Innovation in Global Food Production
QVision’s brief history
March 2003:
April 2004:
Feb 2005:
May 2005:
July 2005:
August 2005
Nov 2005:
April/June 2006:
May 2007:
November 2007:
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.
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Content
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Qvision AS and our owners.
QMonitor system - how it works.
Proven applications.
Customer references.
Appendix
1. Salmon fillet applications (Fat, Colour and Pigment).2. Water content 3. Classification4. Example NIR spectre
» Innovation in Global Food Production
QVisions place in the food production value chain
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Salmon farmingand slaughtering
Production of- Wet salted fish- Dry salted fish
Crab fisheries
Slaughter andprimary processing of- Meat products- Poultry fillets
Etc.
Online scannerQMonitor
Conveyor beltSpeed 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 toproduction- Cost optimizing- Optimize processes- Quality- Other
Office systems
- ERP- QA Systems- Production and
traceability
Other systems
- Signal to grader computer.- Signal to labelling machine.- Signal to trimming machines.- Fine tune water- and fat content.
Integration software
Remote Touch Computer- User friendly interface- Monitoring of scanning- Analyses and statistics.
» Innovation in Global Food Production
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 3m/s.• Easy to integrate with
existing production systems.
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Example of QMonitor integrated with grader.
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QMonitor
Scale
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Example of QMonitor integrated in a salmon processing line
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User friendly and flexible interface
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The QMonitor measuring 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
Blackcover
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The main 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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Example NIR Spectre
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760 800 840 880 920 960 1000 1040Wavelength (nm)
Water
Fat
» Innovation in Global Food Production
The transflected light generates a unique digital map of the scanned object. Each point on the digital map contains valuable data.
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Example -Dry salted fish
• The map is build up by digital points of12x12mm.
• Each point on the map contains a unique NIR*spectrum.
• By analysing the NIR spectrum at each point one can decide unique features of the object.
• Applications are made by comparing the NIRspectrum up against results from tests in a laboratory.- E.g. Water content in Dry salted fish.
Digital map
* Near Infrared (light in the wavelength from 700 NM up to 2100 NM).
» Innovation in Global Food Production
Content
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Qvision AS and our owners.
QMonitor system - how it works.
Proven applications.
Customer references.
Appendix
1. Salmon fillet applications (Fat, Colour and Pigment).2. Water content 3. Classification4. Example NIR spectre
» Innovation in Global Food Production
Proven applications
1. Salmon fillets- Fat content (%)- Colour (SalmoFan)- Pigment content (mg/kg)- Water (%)
2. Salted fish- Water content (%)- Surface classification
3. Forcemeat- Fat content (%)
4. Sliced pork meat- Fat content (%)
5. Crabs- Meat index in living crabs
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» Innovation in Global Food Production
Content
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Qvision AS and our owners.
QMonitor system - how it works.
Proven applications.
Customer references.
Appendix
1. Salmon fillet applications (Fat, Colour and Pigment).2. Water content 3. Classification4. Example NIR spectre
» Innovation 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 INSTITUTIONS
SALMON
SALTFISH
CRABS
MEATPROCESSING
• 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 customers
Aasheim Kjøtt AS
» Innovation in Global Food Production
Content
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Qvision AS and our owners.
QMonitor system - how it works.
Proven applications.
Customer references.
Appendix
1. Salmon fillet applications (Fat, Colour and Pigment).2. Water content 3. Classification4. Example NIR spectre
» Innovation in Global Food Production
Forcemeat. On request
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Qpoint. Ready during 2008
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Andreas Bjørge AS. Split Cod
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1. Salmon filet applications
» Innovation in Global Food Production
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45Fisk: 7 FettFisk: 18.6497 FettNQC: 13.5423
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Possible to measure 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 3m/s.
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45Fisk: 6 FettFisk: 24.6436 FettNQC: 26.8292
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Av. fat content: 14.1 % Av. fat content: 21.4 %
Salmon fillet - Fat
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» Innovation in Global Food Production
Salmon 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. Water content
• QMonitor measures average water 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 75 fillets per minute.
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» Innovation in Global Food Production
The “Cross section method” is used as reference when calculating average water content.
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» Innovation in Global Food Production
3. Salt fish applications – Surface classification
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» Innovation in Global Food Production
The QMonitor classification method is based on the spectral identity of the surface of the object.
White fish
Yellow
Liver
Blood
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QMonitor can be used as a tool to detect all types of unwanted spots on the surface.
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S u p e r i o r
Liver Yellow Blood
U n i v e r s a l
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The QMonitor classification module can replace manual quality classification to a large extend.
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Superior Universal
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Also possible to classify deformation and holes.
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Hole Blood
Un-normal
Normal
» Innovation in Global Food Production
Issues that are difficult to solve by NIR/VIS.
• “Spalting”• “Gjensittende bukbein”• “Kveis”
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Example NIR Spectre
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760 800 840 880 920 960 1000 1040Wavelength (nm)
Water
Fat