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Enriching IoT Analytics with Multi-tiered Video Sensing

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2015 D-STOP Symposium session by Xiaoqing Zhu of Cisco Systems. Watch the presentation at http://youtu.be/y2kYLM8GdbI?t=44m44s.

Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/

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Enriching IoT Analytics with Multi-tiered Video Sensing

  1. 1. 1© 2010 Cisco and/or its affiliates. All rights reserved. Enriching IoTAnalytics with Multi-Tiered Video Sensing Xiaoqing Zhu, Technical Leader, CTAO | Cisco Systems
  2. 2. 7.26.8 7.6 World Population Adoption rate of digital infrastructure: 5X faster than electricity and telephony 50 Billion “Smart Objects” 50 2010 2015 2020 0 40 30 20 10 BillionsofDevices 25 12.5 Inflection point Timeline
  3. 3. © 2011 Cisco and/or its affiliates. All rights reserved. Attorney-Client Privileged 3 High-Definition Video (720p, 1080p, 1920p, 4K) Depth ViewsOptical Flow Derived from Motion Data Infrared Sensing Data High Dynamic Range (HDR) Images/Video Hyperspectral Imaging
  4. 4. © 2011 Cisco and/or its affiliates. All rights reserved. Attorney-Client Privileged 4 •  High bandwidth demand from dense camera feeds •  Tight latency requirements for event-detection and reaction •  Privacy/security concerns in uploading camera feeds out of site •  Computationally demanding analytic (computer vision) tasks Our Approach Leveraging a multi-tiered architecture via Fog Computing
  5. 5. © 2011 Cisco and/or its affiliates. All rights reserved. Attorney-Client Privileged 5 Internet IoT/M2M Gateway Data Sources Data Center Fog Servers Application New Old
  6. 6. © 2011 Cisco and/or its affiliates. All rights reserved. Attorney-Client Privileged 6 Internet IoT/M2M Gateway Data Sources Data Center Fog Servers Application Simple Complex Java C++ Python XML
  7. 7. 7© 2010 Cisco and/or its affiliates. All rights reserved. Enable New Knowledge Agriculture Energy Saving (I2E)‫‏‬ Predictive maintenance Smart Home Healthcare Defense Intelligent Buildings Smart Grid Industrial Automation Transportation and Connected Vehicles Smart Cities

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