ESP32 Series Ep04 - Edge Computing TinyML Project - the Electronic Nose
The electronic nose project we introduce today uses the ESP32-S3 chip and the Edge Impulse platform for TinyML model training and deployment. By detecting the gas components in the air, it can realize the identification and classification of odors, and has important application value in the fields of environmental monitoring and smart home.
FireBeetle 2 Board ESP32-S3-U ► https://www.dfrobot.com/product-2677....
How to Build the Electronic Nose ► https://community.dfrobot.com/makelog...
Materials:
FireBeetle 2 ESP32-E IoT Microcontroller with Header (Supports Wi-Fi & Bluetooth) x1 ► https://www.dfrobot.com/product-2231....
Gravity: MEMS Gas Sensor (CO, Alcohol, NO2 & NH3) - I2C - MiCS-4514 x1 ► https://www.dfrobot.com/product-2417....
DFRduino Mega2560 (Arduino Mega 2560 R3 Compatible) x 1 ► https://www.dfrobot.com/product-655.html
Gravity: Serial Data Logger for Arduino x 1 ► https://www.dfrobot.com/product-2489....
Gravity: IO Shield for FireBeetle 2 (ESP32-E/M0) x 1 ► https://www.dfrobot.com/product-2395....
Gravity: I2C ADS1115 16-Bit ADC Module (Arduino & Raspberry Pi Compatible) x 1 ► https://www.dfrobot.com/product-1730....
Mini Bread Board Self Adhesive x 1 ► https://www.dfrobot.com/product-125.html
Gravity: I2C SD2405 RTC Module x 1 ► https://www.dfrobot.com/product-1600....
Aluminum Heatsink Cooling Fan for LattePanda V1 x 2 ► https://www.dfrobot.com/product-1520....
Timestamps:
What is Edge Computing 00:00
the ESP32-S3 Chip 01:17
the Hardware & Connecting Part 02:22
How to Train and Deploy the E-Nose Model Using Edge Impulse 03:56
the Mango Experiment 08:26
the Deployment Process 11:35
ESP32-S3‘s edge AI application opportunity 13:11
Outro 14:00
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