Enriching IoT Analytics with Multi-tiered Video Sensing
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Transcript of Enriching IoT Analytics with Multi-tiered Video Sensing
1 © 2010 Cisco and/or its affiliates. All rights reserved.
Enriching IoT Analytics with Multi-Tiered Video Sensing
Xiaoqing Zhu,
Technical Leader, CTAO | Cisco Systems
7.2 6.8 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
Bill
ions
of D
evic
es
25
12.5
Inflection point
Timeline
© 2011 Cisco and/or its affiliates. All rights reserved. Attorney-Client Privileged 3
High-Definition Video (720p, 1080p, 1920p, 4K)
Depth Views Optical Flow Derived from Motion Data
Infrared Sensing Data High Dynamic Range (HDR)
Images/Video
Hyperspectral Imaging
© 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
© 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
© 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 © 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