Classifying Drones based on Sound Frequency From January to March of this year, I worked with students from Chungnam National University (충남대학교) in South Korean in research regarding Neural Networks. Specifically, we wanted to create a Convolutional Neural Network that could classify different types of drones and whether they were carrying a payload or not using low cost microphones. The purpose of this system was focused on providing law enforcement or military support in identifying if drones were carrying bombs in high density population environments.
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Austin Snair

Student at Purdue. Hacking, Cracking, Tech, Writing, CryptoCurrency, and a dabble of Intel

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