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Transcript of © LogicaCMG 2007. All rights reserved 1 Biometrics in aviation Arnoud van Zuijlen Business...
1© LogicaCMG 2007. All rights reserved
Biometrics in aviation
Arnoud van ZuijlenBusiness Development Manager e-Identity Solutions
2© LogicaCMG 2007. All rights reserved
We provide a global centre of excellence for the development of solutions for
electronic identification, travel documents, and border control
LogicaCMG e-Identity team
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LogicaCMG e-Identity Solutions
PublicSectorPublicSector
FinancialServicesFinancialServices
Energy,Utility &Telecom
Energy,Utility &Telecom
Industry,Distribution &
Transport
Industry,Distribution &
Transport
e-Borders solutions
National ID
Electronic passports& visas
Global e-Identity TeamGlobal e-Identity Team
Corporate ID
ePassports& eVisas
eBorders
National IDDriving Licences
Physical &Logical Access
Physical & Logical Access
Physical & Logical Access
Customer IDLoans
Customer IDUtilities
Customer IDeTicket
Physical & Logical Access
ExpeditedBorder Passage
ExpeditedBorder Passage
4© LogicaCMG 2007. All rights reserved
Privium
5© LogicaCMG 2007. All rights reserved
Privium product
• Automatic Border Passage, using iris recognition technology
• Dedicated parking:
• P2 – short term
• P3 – long term
• Dedicated check-in
• Dedicated corridor Schengen destinations
• Smart card technology for storage of both irises, Privium membership information and passport details
6© LogicaCMG 2007. All rights reserved
Privium Service Point for enrolment
7© LogicaCMG 2007. All rights reserved
Automated Border Passage
8© LogicaCMG 2007. All rights reserved
Ergonomics
9© LogicaCMG 2007. All rights reserved
Innovation
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© LogicaCMG 2007. All rights reserved
•Change Management Programme
•Multi-disciplinary
• Customer service point
• Buildings infrastructure
• Technology
• Multiple Stakeholders
• Customer experience and ergonomics
• Biometric Selection (HW & SW)
• Privacy legislation
• System & Security architecture
• Card management and personalisation equipment
Stakeholders:Dutch Ministry of InteriorSchiphol Management
Schiphol StaffPrivacy Chamber
Parking ManagementProject Management
Project TeamProduct Suppliers (25)
Sub-ContractorsAirlines
Customer Contact Centre
LogicaCMG Prime Contractor
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• To ensure that only authorised staff has access to secure areas at the airport.
• Existing card management system had to be replaced as it reached the borders of its capacity
• Renewal of 60.000 smart cards
• Iris recognition and user weight stored on the smart card
• Efficient deployment of security staff
• Vehicle control in combination with driver
• Redesign of the badge centre where the access cards are issued
Schiphol - Staff access control project
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© LogicaCMG 2007. All rights reserved
LogicaCMG involvement
• LogicaCMG has been involved in:
• Implementing the Card Management System and personalisation equipment
• Implementing the iris technology
• Business process analysis / redesign badge center and related departments
• Requirement specification of the biometric part of the project
• Testing (FAT, SAT, SIAT)
• Training and instructing employees
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Other relevant projects
• Involvement in redesign of the Passenger process at Schiphol to:
• Reduce the waiting time
• Lower the costs of the stakeholders
• Improve the quality of travel for the passengers
• Make use of biometric functionalities of the ePassport
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Examples of future use of biometrics for travelers
• Call airline to check-in from home, using voice verification technology to verify identity of the traveller over the phone
• Retrieve your boarding pass from kiosk by offering your ePassport and biometrics (for example fingerprint, face, iris, palm vein)
• Boarding pass holds biometric information in a printed barcode to prevent transferability of boarding passes
• Self service luggage drop off; using ePassport / biometrics to verify the identity of the traveller
• Boarding plane using:
• ePassport with fingerprint technology
• Boarding pass with biometrics (barcode)
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© LogicaCMG 2007. All rights reserved
Face Recognition and Video Surveillance
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Trial project international airport
• Enrolled 12 subjects by taking multiple enrolment images
• Asked them to pass through each location (over 1000 passengers pass by per hour)
• Set initial threshold very low to gauge where to set the limit
• Asked them to walk through at different times with different levels of people
• Reviewed the results timeline and identified matches. Numerous matches per location were counted as 1 match.
Considerations• Environmental conditions
• Camera positioning
• Type of camera
• Human behavioural characteristics
• Processing power and architecture design
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• Pilot project at PSV Eindhoven
• Existing infrastructure
• Find registered hooligans with a stadium ban during the soccer game
• Police operator involvement
• Identification > 90%
PSV Eindhoven – Face recognition
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Shoppingmall Zuidplein – Face recognition
1. Test face recognition technology to find shoplifters within the shoppingmall premises.
2. Test face recognition based on the current camera infrastructure.
3. Usage of PDA’s to send alarms to security guards
Results: > 90 % correct identifications
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Conclusions
• A controlled environment (lighting) provides the best performance
• If you can, position the cameras in optimum locations for facial recognition and do not rely on existing CCTV camera locations
• Field of view and depth of field need to be considered to eliminate blind spots
• Important to study peoples behaviour and flow at locations
• The network architecture and where the processing take place has a huge bearing on performance
• Biometric identification of non compliant subjects from CCTV is feasible
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Project Ariane – face recognition
• Project to modernise police investigation information systems
• LogicaCMG is the prime contractor for this very large project
• Project aims at providing 150,000 Police Officers with IT tools to assist them during the crime investigation phase
• Face recognition technology for a 4.5 million records photo database
• The project includes
– migration of existing data
– implementation of an exchange tool
– statistical analysis applications
– collaborative work tools
– advanced search engine,
– face recognition technology and image comparison tools
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Dutch ePassport Trial
• To trial an ePassport with facial scan to comply with ICAO guidelines and for two fingers fingerprints to comply with EU guidelines
• The ePassport complied with the US guidelines for the Visa Waiver program
• 15,000 Dutch residents were enrolled and received the new ePassports for the 6 month duration of the trial
• LogicaCMG were responsible for the:– Systems Integration
– Enrolment system
– Personalisation
– Applets on the chip
– RFID
– Selecting and managing suppliers
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Building Security Management System
Unilever Global Solutions – Facilities Corporate Center Rotterdam & London
Integrated system for building access control, cameras and intercom
Challenges:Challenges:During migration the buildings must remain continuously under control
Existing cabling had to be reused as much as possible
The architecture must support remote locations and has to be open for future developments and needs
Central security room has to be in control of all buildings
Challenges:Challenges:During migration the buildings must remain continuously under control
Existing cabling had to be reused as much as possible
The architecture must support remote locations and has to be open for future developments and needs
Central security room has to be in control of all buildings
Benefits to customer:Benefits to customer:System alerts employee for undesirable situations
All cameras are digital recorded 24 x 7
Search functionality on all camera recordings
Motion detection for enhanced camera usage
Ease of use thanks to integration of systems
Shared and better information supplies
Optimized control desk
Better overview and control over all buildings and environment
Open architecture for future developments like biometric implementation
Benefits to customer:Benefits to customer:System alerts employee for undesirable situations
All cameras are digital recorded 24 x 7
Search functionality on all camera recordings
Motion detection for enhanced camera usage
Ease of use thanks to integration of systems
Shared and better information supplies
Optimized control desk
Better overview and control over all buildings and environment
Open architecture for future developments like biometric implementation
NeedNeed:Functional requirement analysis
Architecture design
Supplier and system selection
Proof of concept implementation
Project management
System configuration
NeedNeed:Functional requirement analysis
Architecture design
Supplier and system selection
Proof of concept implementation
Project management
System configuration
drop
ScopeScope::Replacement of old building access control system by a new web and Oracle based system
Replacement of old CCTV system by a new digital recorded camera system with motion detection
Replacement of old intercom system by a digital system
5 Buildings, 150 doors, 100 cameras, 30 intercoms
Video wall for camera viewing and touch panel for control
System interaction via network and automated alarm action
Hands free functionality at main entrance
Badge suitable for catering
ScopeScope::Replacement of old building access control system by a new web and Oracle based system
Replacement of old CCTV system by a new digital recorded camera system with motion detection
Replacement of old intercom system by a digital system
5 Buildings, 150 doors, 100 cameras, 30 intercoms
Video wall for camera viewing and touch panel for control
System interaction via network and automated alarm action
Hands free functionality at main entrance
Badge suitable for catering
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© LogicaCMG 2007. All rights reserved
Future of biometrics: Multi modal searching and fusion Arnoud van ZuijlenBusiness Development Manager e-Identity Solutions
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The future: new developments
New matching algorithms appear
Biometrics continuously improve in accuracy
New biometric technologies
Combining biometrics: Multi modal searching and fusion
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What is multi modal searching and fusion?
The technology to combine multiple forms of biometrics and biographical information to search for an identity or to verify someone’s identity
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Multi-Modal Fusion Why?
• FBI Watchlist
– 150.000 persons
– 15.000 searches / day
– 3 hours downtime/day
Finger Face …
• US Visit growing
– From 60 to 500 mio persons
– From 1 to 3 mio searches/day
– 0 sec downtime/day
• Single biometric
• Small databases
• No performance requirements
• No spoofing issues
• Accuracy not issue
Persons
• Multiple biometric & biographic
• Huge databases
• Sub-second requirement
• Spoofing major concern
• Accuracy issues due to size
Past Now9 / 11
Finger Face …
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Biofuse™
• Searching from a single client application on biometric and biographic databases
• Using biometrics like face, finger, iris, DNA, speech, etc.
• Using fuzzy searching on textual / biographical data
• Fuse the separate search results into one ranked result list
• Increases accuracy, reliability
• Independent of biometric algorithms, which provides vendor lock-in
• Gives the ability to add new sources / databases
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Voice
AgeGenderHeight
...
Facial scan
Fingerprints(up to 10 prints)
Biographic information
Stored object
Encoded Face
Encoded Finger
Encoded biographics
Encoded iris
Encoded object
Encoded Face
Encoded Finger
Encoded biographics
Encoded iris
Result
Matching
Iris
DNA
Facial feature extraction
Fingerprintfeature extraction
Encodebiographic data
Iris feature extraction
DNA feature extraction Encoded DNA Encoded DNA
Pos
sibl
e ex
tens
ion
to c
urre
nt d
emo
Encoded voice Encoded voiceVoice feature extraction
15 %
75 %
50 %
75 %
100 %
15 %
55%
Multi-Modal Fusion How?
Measure the degree of fit between each criterion and the data, and gives it a score between 0 and 100%. Combine these scores to determine an overall score for a particular record
Unweightedscore
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Voice
AgeGenderHeight
...
Facial scan
Fingerprints(up to 10 prints)
Biographic information
Stored object
Encoded Face
Encoded Finger
Encoded biographics
Encoded iris
Encoded object
Encoded Face
Encoded Finger
Encoded biographics
Encoded iris
Result
Matching
Iris
DNA
Facial feature extraction
Fingerprintfeature extraction
Encodebiographic data
Iris feature extraction
DNA feature extraction Encoded DNA Encoded DNA
Pos
sibl
e ex
tens
ion
to c
urre
nt d
emo
Encoded voice Encoded voiceVoice feature extraction
15 %
75 %
50 %
75 %
100 %
15 %
73 %
Weight: 10
Weight: 50
Weight: 15
Weight: 25
Weight: 50
Weight: 10
Multi-Modal Fusion How?
Measure the degree of fit between each criterion and the data, and gives it a score between 0 and 100%. Combine these scores to determine an overall score for a particular record
Weightedscore
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Features: Weighing criteria
Iris
Ethnicity
Hair color
Name
Fingerprint
Eye color
Set separate weight of each input criteria according to:• importance • quality / reliability of the biometric algorithm • quality / reliability of the offered input
DNA
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Biofuse ™
Biofuse™ offers a solution for:
• Identifying or verifying someone based on the given input criteria
• Unlocking / combining biometric and biographic sources / databases
• Using any type of biometric algorithm
• Used for border control purposes, using various forms of biometrics (face, finger, iris)
• Using fuzzy searching on text data
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© LogicaCMG 2007. All rights reserved
Thank you for your attention Arnoud van ZuijlenBusiness Development Manager Global e-Identity [email protected]
LogicaCMG e-Identity Solutions
Mobile: +44 (0)7968 297 087
Fax: +44 (0) 207 674 3559