Wireless Analytics for 3D Printed Objects
summary
Built a circuitless wireless analytics system that uses room-scale backscatter from objects printed with conductive 3D-print filament. Antennas are EM-simulated and printed on a dual-material printer; switches use cantilever springs and gears to toggle reflections. A software-defined radio with active self-interference cancellation (phase shifters) decodes peaks; cancellation yields reliable decoding across roughly four meters. Demonstrations detect pill-bottle cap turns, map gear-peak counts to prosthetic joint angles and direction (asymmetric gear), and store counts offline with a ratchet-based mechanical storage.
AI-written summary · about
chapters (9)
- 0:00Introduction to project
- 1:57Why circuitless sensors
- 3:00Building printed objects
- 8:04Decoding wireless signals
- 10:41Self-interference cancellation
- 11:27Tracking rotational motion
- 13:17Storing data mechanically
- 15:26Future improvements
- 15:47Conclusion and Q&A
related talks
20mOff-Line Sensing: Memorizing Interactions in Passive 3D-Printed Objects
19mAirCode: Unobtrusive Physical Tags for Digital Fabrication
53mHacking the Wireless World with Software Defined Radio - 2.0
01h 13mHealth Monitoring with Wireless Sensors and Machine Learning
01h 02mHacking the Wireless World with Software Defined Radio - 2.0
12mWiForce: Wireless Sensing and Localization of Contact Forces on a Space Continuum
10mMetaSense: Integrating Sensing Capabilities into Mechanical Metamaterial
01h 00mHacking the Wireless World with Software Defined Radio - 2.0
