Design Of Wireless Vision Sensor Network For Smart Home.pdf

Design for wireless vision sensor network for smart home. Seminar ppt for EEE and ECE

1. Design Of Wireless Vision Sensor
Network For Smart Home
Guided by:
Sri. Sreekumar
Presented By:
Arjun P B
Roll No: 24
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2. Content
●Introduction
●Wireless Vision Sensor Network (WVSN)
●WVSN strategies and terminologies
●Advantage and Disadvantage
●Conclusion
●Future Scope
●Reference
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3. Introduction
●What is Smart home
○Use of internet connected devices to monitor and
manage appliances in home
●Need of Wireless Vision Sensor Network in Smart
home
○For utilizing video based information processing in a
smart home
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4. Wireless Vision Sensor Network (WVSN)
●A network of spatially distributed smart
camera devices capable of processing, sending
and capturing info as video
●Consists of 3 main parts
○Sensor node (SN)
○Aggregation node (AN)
○Base station (BS)
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5. WVSN strategies and terminologies
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WVSN Strategies

6. WVSN strategies and terminologies
WVSN terminologies
1.Foreground Segmentation : Making a background modeling and the subtract it
from the frame to obtain the foreground.
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7. WVSN strategies and terminologies
2. Object Labeling
●Once the binary foreground mask is obtained, the connected
pixels are labeled
●Object labeling take large amount of time to process data
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8. WVSN strategies and terminologies
3. Object Tracking: it is performed based on the
object labeling data.
●A colour distribution model is formed
based on colour feature and used for
tracking
●If model exists already then only tracking is
performed otherwise new model is
created.
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9. WVSN strategies and terminologies
4. Binary Data Compression
Binary data compression is used for effectively
compress and transmit data
Skip-line method is used for the compression
Some rows of foreground object have high similarity
these are marked skip-line and then compressed
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10. Advantages and Disadvantages of WVSN
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Advantage Disadvantage
High Privacy Medium complexity
Medium power consumption Low recognition rate
Lesser size data transfered

11. Conclusion
●Smart home has become a mainstream trend.
●By using Wireless Vision Sensor Network to retrieve and analysing video
content, we can automate many tasks like video surveillance.
●WVSN will keep the privacy of the user along with lesser consumption of power
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12. Future Scope
●Wireless Vision Sensor Network can be implement in Shopping mall and traffic
system
○Consume lesser power
○The surveillance can be automated, reducing the need of human to
constantly monitor via multiple monitors
●This system can be extended further to include other Smart home applications
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13. Reference
●Tsung-Han Tsai, Chih-Chi Huang, Chin-Hao Chang and Muhammad Awais
Hussain, “Design of Wireless Vision Sensor Network for Smart Home “ IEEE
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14. Thank you
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