1. PrivacyCam: Tomorrow’s Smart Video Surveillance Technology Presented By - Ankur Chattopadhyay

2. Overview  Motivation behind PrivacyCam  The PrivacyCam (a description)  Applications  Analysis of the technology  Conclusion

3. Today’s Surveillance Systems Surveillance Cameras Existing Monitoring

4. Security Cameras: Trustworthy? Dr. Roger Johnston’s Keynote Speech on Security Blunders  Research shows security cameras: -Don’t prevent crime -Can sometimes help solving crimes -Can be useful for criminal prosecution “If you are going to be using security cameras to invade our privacy, then it better be for the right reasons” (Dr. Johnston’s Quote)

5.  “Privacy invasion” (violation of the civil rights of individuals)  CCTVs displace crime outside camera bounds  Privacy issues restrict the use of camera in many such places  Unmonitored zones become easy/soft targets for criminal activity Present Surveillance Problems “Eyes” Of A Camera Always Watching You Everywhere

6. The Challenge At Hand  The critical question faced:- How to apply surveillance in the right way and at the right place to enhance security and at the same time protect our fundamental privacy rights?  The answer:- PrivacyCam - A surveillance model that is sensitive to privacy and hides identities - An intelligent technology that addresses the issue of privacy protection

7. PrivacyCam: The Technology  Uses applied cryptography  Privacy through invertible cryptographic obscuration (PICO) technique  Modeled as an embedded system -Built on a tiny Blackfin DSP (Digital Signal Processor) board -Includes a small Omnivision CMOS camera module - Runs on a real time operating system (uCLinux)

8. PrivacyCam: How It Looks Blackfin DSP Module Omnivision CMOS Camera Module Integrated System: PrivacyCam

9. Algorithm Implementation Capture image from surveillance Detect the region(s), which need(s) to be protected, from within the captured image Generate encryption key(s) and store the information of the key and detected region(s) Encrypt the detected region(s) using the encryption key(s), thereby hiding the identity of the individual(s) for maintaining privacy

10. Results: PrivacyCam Output Footage

11. Applications Incidents of violence & trespassing on campus Locker Room Elder Care Center

12. Analysis Of Technology  Strikes a fine balance  Compact and affordable  Adaptive and stable  Real time performance  Can be used to address the issue of racial discrimination in security systems

13. Conclusion: Looking Ahead  Novel patent-pending technology  Anti-Discriminatory Cam  Future Scope/Challenges: -Improved Security of Key(s): Combination of Keys -Enhanced ROI Detection

14. References  A Chattopadhyay, T Boult, “ Privacy Cam: a Privacy Preserving Camera Using uCLinux on the Blackfin DSP”, IEEE CVPR (2007)  T Boult, “PICO: Privacy Through Invertible Cryptographic Obscuration”, Computer Vision, Interactive & Intelligent Environments (2005)  A Senior, S Pankanti, A Hampapur, L Brown, Y Tian, A Ekin, “ Blinkering Surveillance: Enabling Video Privacy through Computer Vision”, IEEE Security & Privacy (2005)  Beatrice von Silva,Tarouca Larsen, “ Setting the Watch: Privacy & Ethics of CCTV Surveillance”

15. Open for questions & comments - Thanks!

16. Outline Of Applied Algorithm