Deploy ML model to ESP32
Budget: $30 – $250 USD
The aim:
The ESP32 should blink an LED when it recognizes a specific sound (for example a dog barking)
What i already have:
- A trained model in (Edge Impulse) ready to be deployed for ESP32
- An ESP32 with attached I2S microphone
- Firmware which writes data from I2S microphone into buffer running on the ESP32
What is missing (Your Job):
The ESP32 should feed the buffer to the ML model with data so the model can start predicting sound. When the ESP32 recognizes a specific sound, an LED should go on.
Firmware: https://github.com/EDsteve/idf-wav-sdcard
Edge Impulse tutorial to deploy: https://docs.edgeimpulse.com/docs/deployment/arduino-library
The ESP32 should blink an LED when it recognizes a specific sound (for example a dog barking)
What i already have:
- A trained model in (Edge Impulse) ready to be deployed for ESP32
- An ESP32 with attached I2S microphone
- Firmware which writes data from I2S microphone into buffer running on the ESP32
What is missing (Your Job):
The ESP32 should feed the buffer to the ML model with data so the model can start predicting sound. When the ESP32 recognizes a specific sound, an LED should go on.
Firmware: https://github.com/EDsteve/idf-wav-sdcard
Edge Impulse tutorial to deploy: https://docs.edgeimpulse.com/docs/deployment/arduino-library
Related categories:
C Programming
Microcontroller
Electrical Engineering
Machine Learning (ML)
Arduino