Breaking the perceptional boundaries as well as educational boundaries though a novel visualisation of magnetic fields
What it does
Breaking the perceptional boundaries of the human body allowing you to visualise magnetic fields
How we built it
We collected magnetic field data using a magnetometer along with positional information which was mapped to a model of a magnetic dipole using a neural network trained on a custom data set. This model was then used to generate flux lines which were superimposed on a live camera view allowing for augmented reality.
Challenges we ran into
Generating data for the machine learning network. Accurately attaining position information.
Accomplishments that we're proud of
Getting all of the different areas of computer science to merge together and produce the desired outcome
What we learned
How to generate data from neural networks and request sensor data from mobile networks
What's next for Phi
Increase the accuracy