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

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