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Neuromorphic Active Sensing
- Program: Electrical and Computer Engineering
- Course: Machine Intelligence on Embedded Systems EN.520.440
- Year: 2023
Project Description:
Using a micro-doppler sonar system, we identify different sizes of moths using an LSTM model based on the frequency signatures. We then deploy onto an Arduino Portenta H7 as an application of machine learning on the edge, with an eye towards implementing the sensing system on the Crazyflie(small drone).