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OPERATIONALIZING

OPERATIONALIZING. P RIVACY by D ESIGN. USING FACIAL RECOGNITION TO IDENTIFY. SELF-EXCLUDERS AT OLG SLOTS AND CASINOS. Les DeSouza , Architecture & Emerging Technology. Who is ?. Employs almost 20,000 people in Ontario. Lotteries. >$30 Billion. =. Slots. Casinos.

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OPERATIONALIZING

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  1. OPERATIONALIZING PRIVACYby DESIGN USING FACIAL RECOGNITION TO IDENTIFY SELF-EXCLUDERS AT OLG SLOTS AND CASINOS Les DeSouza, Architecture & Emerging Technology

  2. Who is ? Employs almost 20,000 people in Ontario Lotteries >$30 Billion = Slots Casinos for Ontario Healthcare, Education, and Infrastructure Resort Casinos Bingo

  3. WHERE’S WALDO? is a watch-list of only one person. OLG’s problem is trying to find 15-thousand unique self-excluded people in near real-time while protecting everyone’s privacy. Facial Recognition with Biometric Encryption is our Privacy Enhancing Technology

  4. BE ADDR IMAGE IMAGE NAME TMPL HASH PRIVACYby DESIGN EXTERNAL NETWORK CONTROLS INTERNAL NETWORK CONTROLS APPLICATION CONTROLS APPLICATION CONTROLS DATABASE CONTROLS DATABASE CONTROLS FR SE

  5. SE SELF EXCLUSION ID PRIVATEINFO BIOMETRIC ENCRYPTION SELFEXCLUSIONID PRIVATEINFO SELF EXCLUSION “WALDO, 1987-09-21, HIDDEN AV, ...” + SELF EXCLUSION ID BIND FACIAL RECOGNITION FR-ID, IMAGE IMAGE FR-ID, BE TEMPLATE BIOMETRIC TEMPLATE, FR-ID HELPER ENROLLMENT FR

  6. SE “WALDO, 1987-09-21, HIDDEN AV, ...” SELF EXCLUSION ID PRIVATEINFO BIOMETRIC ENCRYPTION SELFEXCLUSIONID SELF EXCLUSION SE-ID - BE TEMPLATE UNBIND FACIAL RECOGNITION FR-ID, IMAGE IMAGE FR-ID BE TEMPLATE BIOMETRIC TEMPLATE HELPER FR-ID DETECTION FR

  7. PRIVACYby DESIGN the 7 Foundational Principles

  8. PRIVACYby DESIGN the 7 Foundational Principles

  9. Les DeSouzaEnterprise Architect Architecture & Emerging Technology OLG | ldesouza@olg.ca | olg.ca Ann Cavoukian and Tom Marinelli Publication on IPC website: ipc.on.ca Questions: ldesouza@olg.ca

  10. WHYface recognitionCAN SOMETIMES FAIL photo courtesy of All American Pet Brands

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