Inspiration
Wildlife can be more easily preserved the quicker infected trees are identified within an ecosystem. Dentists can treat patients more effectively the quicker they can identify internal tooth decay. Applications like this inspired us to develop as efficient of a cavity detection device as possible within 24 hours.
What it does
Material cavity detection using ultrasound reflecting from the material to the cavity inside it.
How we built it
Arduino and ultrasonic microphones & speakers.
Challenges we ran into
Speaker/Microphone quality. Microphones only measured sonic wave-packet size, and not frequency or amplitude. Speakers only produced sound waves of fixed frequencies. These drawbacks rendered the data prone to false postives.
Accomplishments that we're proud of
Every project members' specialties were maximally utilised: application design, application development, arduino and physics knowledge, and data analysis. The app is easy to use, such that the user requires very little background knowledge on the science behind the device.
What we learned
Time management and teamwork under timed conditions.
What's next for Cavity Kevin
The device can be modified to become a multi-purpose sensor, be it for radiation, heat signatures or physical objects. Reaching such a point is a matter of sensor and back-end development, and not new scientific research.
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