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Smart Blueprints: Automatically Generated Maps of Homes and the Devices Within Them Jiakang Lu and Kamin Whitehouse Department of Computer Science University of Virginia June 20, 2012
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“Snap In” Smart Home 1 Motion Temperature Light
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2 2 72 °F 71 °F 70 °F 69 °F “Snap In” Smart Home
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3 Motion #1 Temperature #1 Light Switch #1 Motion #2 Sunlight Sensor #1 Light Switch #2 72 °F
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4 69 °F
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5 “Mark and Call” ($2.99 iPhone app store) [5] Harle, et al Image from [4] Schindler, et al Related Work
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6 72 °F 69 °F Smart Blueprints Infer floor plan from the app’s sensor data No specialized deployment tools or process Only minor modifications to sensor design
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Outline Sensor Design Topological Constraints Search Evaluation 7
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MotionDoorTemperature Magnetometer
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Outline Sensor Design Topological Constraints Search Evaluation 11
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17 E W
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18 E W
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19 N S
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20 N S
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22 N
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Outline Sensor Design Topological Constraints Search Evaluation 24
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32 Demo
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Outline Sensor Design Topological Constraints Search Evaluation 33
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34 A. B. C. D.
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37 Downloaded Floor Plans 12.2 average
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Limitations Failed on 1 out of 4 homes 1 week to converge Only evaluated light, motion, mag’r sensors How many sensors required? Restricted floor plan encoding 38
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Conclusions Simple sensors are enough to infer layout – Floor plan – Sensor locations Requires small modifications to sensor design – Physical pairing – Mounting strategies One step towards a “Snap In” smart home 39
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40 Questions? (See the demo next!)
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41 Backup Slides
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“Snap-In” Smart Home 47 72 °F 69 °F 72 °F 70 °F 71 °F
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