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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. “Snap In” Smart Home. Light. Motion. Temperature. “Snap In” Smart Home. 72 °F. 71 °F. 70 °F.
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Smart Blueprints: Automatically Generated Maps of Homesand the Devices Within Them Jiakang Lu and Kamin Whitehouse Department of Computer Science University of Virginia June 20, 2012
“Snap In” Smart Home Light Motion Temperature
“Snap In” Smart Home 72°F 71°F 70°F 69°F 72°F 2
Motion #1 Motion #2 Temperature #1 72°F Sunlight Sensor #1 Light Switch #1 Light Switch #2
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Related Work “Mark and Call” ($2.99 iPhone app store) [5] Harle, et al Image from [4] Schindler, et al
Smart Blueprints Infer floor plan from the app’s sensor data • No specialized deployment tools or process • Only minor modifications to sensor design 72°F 69°F
Outline • Sensor Design • Topological Constraints • Search • Evaluation
Door Temperature Magnetometer Motion
Outline • Sensor Design • Topological Constraints • Search • Evaluation
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Outline • Sensor Design • Topological Constraints • Search • Evaluation
Outline • Sensor Design • Topological Constraints • Search • Evaluation
B. A. C. D.
Downloaded Floor Plans 12.2 average
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
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
Questions? (See the demo next!)
“Snap-In” Smart Home 71°F 69°F 72°F 70°F 72°F 72°F 71°F 47