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  • Thus iris being the most accurate and fastest biometric can be used for very accurate and rapid identification of criminals
  • Devices have gone from 2000 USD to 700 USD in just one 8 months because of demand in UID

Transcript

  • 1. National AMBIS Presentation by Purushottam Sharma,IPS IGP, SCRB, Bhopal
  • 2. What is AMBIS?
    • AMBIS (Automated Multi-Modal Biometrics Identification System)
    • Incorporates State of the Art biometric technologies to serve law enforcement applications beyond traditional AFIS capabilities
    • Modalities used today
      • Finger (Ten print flats and rolls, latent)
      • Face (Mug shot and latent face)
      • Iris (Dual iris scans)
      • Palm (Print and latent)
  • 3. Why Multi-Modal Biometrics?
    • Collectively the system will have more capabilities, reduced total cost of ownership and increased accuracy.
    • NCRB will build database in alignment with UIDAI standards and thus the national residents database.
    • Finger is used for traditional applications.
      • Chance print investigation
      • Identification in case of other missing biometrics
  • 4. Who else is using Multi-modal Biometrics
    • FBI Next Generation Identification System
        • NGI Implementation Schedule has 5 Increments
        • Increments up to 3: Fingerprint
        • Increment 4: Inclusion of face (Dec 2010)
        • Increment 5: Inclusion of Iris (Jan 2011)
        • Increment 6: Fusion
    • U.S. Department of Defense (DoD) Next Generation ABIS
      • Hold the database of criminals from the entire world are of the interest to US and coalition forces
      • End-to-end multi-biometric identification solution with complete Forensic Capability (Fingerprint, Face, Iris, Palm and Fusion)
      • Real-time performance allows mobile identification of persons of interest globally.
      • Latent examination and coordination with FBI
  • 5. Who else is using Multi-modal Biometrics
    • United Arab Emirates (UAE) Police
      • Expedite border control & real-time deportation screening
      • Positively identify subjects entering and leaving the country
    • Saudi Arabia ABIS
      • Central matching engine for national ID, deportation programs and national mobile identification system (MBIS)
      • Iris, face and fingerprint system
  • 6. Power of Multi-Modal Biometrics
    • Iris
    • Iris is nothing but just a photo of your iris taken using a special camera.
      • Iris inherently has the lowest False Acceptance Rate which makes detection and linking of criminals records very effective (Only one result in the scores list).
      • Iris matching algorithm is also inherently the fastest biometric, reducing hardware footprint and response time thus making total cost of owner ship low
      • UIDAI after extensive research concluded that iris was very important for its identification program (Published White Paper can be found on UIDAI website
  • 7. Power of Multi-Modal Biometrics
    • Iris Contd..
      • By incorporating iris in the AMBIS NCRB database will be inline with UIDAI database.
      • NCRB will have to build the database as it progresses but being multi modal the system will full functional even without iris today.
      • Iris scanner are also standard the UIDAI program has driven the market to make iris capture devices LOWER than finger print live scan devices.
  • 8. Power of Multi-Modal Biometrics
    • Face
      • Only biometrics that can be captured covertly
      • Mug shot identification and Digital Line-up
      • Face Latent matching from surveillance videos
    • Palm
      • Latent palm matching
  • 9. AMBIS Architecture Next Slide
  • 10. NCRB AMBIS Back
  • 11. SCRB AMBIS Back
  • 12. DISTRICT AMBIS Back
  • 13. Police Station Workstation Back
  • 14. AMBIS Architecture
  • 15. AMBIS Standard API Interface
    • NCRB AMBIS will have a standard open source based interface technology for state level AMBISs and other agencies integration (Message Queues ActiveMQ, RabbitMQ etc)
    • NCRB AMBIS will publish a standards based API to which all external system should comply with NIST EBT/EFTS file format will be used for exchange and archival of biometric and demographics data.
  • 16. Web Enabled
    • The proposed NCRB AMBIS will have to support web based functionalities with Client-Server architecture.
  • 17. Mobile Identification Capabilities
    • NCRB AMBIS and thus any state level AMBIS will have the mobile identification capability.
    • Devices with local identification capability (upto 5 lacs local database) will be deployed nation wide and will the capability to submit remote searches to NCRB and State AMBIS
    • Hand held rapid ID devices will also be able to submit search request on any modality to NCRB and state AMBIS
  • 18. Biometric Image Formats
    • Biometric images will comply with the ISO -19794-x standard format for all modalities.
    • Biometric images will be captured and stored in JPEG 2000 lossless format.
    • Biometrics will be captured in compliance with UIDAI or better standards (for example 500dpi or 1000 dpi)
  • 19. AMBIS Database Buildup Strategy
    • All the state AMBIS systems will integrate and upload records in bulk as per the NCRB AMBIS API and data format standards.
    • Records will be searched and enrolled to maintain synchronization.
    • Biometric records will be updated whenever possible.
  • 20. Vendor Neutral
    • Records are achieved in Standard NIST format
    • Original Biometric data is stored in standard compression and ISO record formats
    • The API is standard so AMBIS solutions can be changed without disrupting the entire national AMBIS infrastructure
    • Modalities can be added or replaced without any impact on the functionality of the AMBIS
  • 21. THANK YOU