Through the use of embedded machine learning (TinyML), Project A-Vent detects ventilator alarms (Disconnected Pressure Port, Disconnected Tube, and Machine Failure) automatically in near real-time. #Opensource #Ventilator #ESP32
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Serial and Bluetooth Terminal User Interface
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Plotting Ventilator Waveform Using Grafana Dashboard
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XML on ESP32 web server
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A-Vent 2.0: Alarm Detection Related to Ventilator Status
Capturing Ventilator Waveform with ESP32
Machine Vision with OpenMV Cam
Gesture Classification on Arduino Nano
RGB Color Classification with Arduino Nano and MicroML
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