A project completed for MIT's ProjX program in 2016 to develop a low-cost indoor 3D localization system using time-of-flight of sound waves.
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This project uses sound and light to perform low-cost indoor 3D localization. See summary video below for the overview.
While the idea was to use infrared light and ultrasonic sound so that the system wouldn't be detectable to humans, ultrasonic transducers are much more difficult to find than those for audible sound. Therefore, the system was built using audible sound. The update rate in the video above is relatively slow, only because the noise is too annoying. Otherwise, this could easily be run at much higher update rates.
While it worked pretty well for short ranges, especially for linear distance measurement, there are some major limitations and challenges not dealt with here:
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That just means I didn't explain it well enough. Actually the IR channel does not transfer any used data. The IR and audio pings occur at the same time and the base stations measure the time differential between receiving the IR and audio signals. That time, based on the speed of sound, determines the point-to-point distance. Basically, it's the time between thunder and lightning. The base stations and transmitter all have nrf24l01 radios as well, and the distance information is transferred over those radios and the 3D position is then calculated based on the known locations of the base stations.
Thanks, glad you like it.
Oh... I get it. Took me a while to figure what you're doing. So you are using the IR as a channel the transfer data between devices? Then audio ping is measured by all, time offsets are shared via IR, and known distance base station audio delay is compared against mobile tag?
Very neat!
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Hi Jake. I am working on the same project but with ultrasonic and radio signals using instead of audio and infrared. If you interested we can collaborate to speed up the development process.