Alan Wang
Published © CC BY-NC-SA

TinyML: Live Image Classification on ESP32-CAM and TFT

A modified example that can display the captured image and its classification result on a display. Say goodbye to clumsy WiFi connections!

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TinyML: Live Image Classification on ESP32-CAM and TFT

Things used in this project

Hardware components

Espressif AI Thinker ESP32-CAM
×1
ST7735S TFT display
×1
SparkFun Breadboard Power Supply Stick 5V/3.3V
SparkFun Breadboard Power Supply Stick 5V/3.3V
×1
Breadboard (generic)
Breadboard (generic)
×1
Pushbutton switch 12mm
SparkFun Pushbutton switch 12mm
×1
Cable, USB to TTL Serial Converter 5V
Cable, USB to TTL Serial Converter 5V
×1

Software apps and online services

Arduino IDE
Arduino IDE
Edge Impulse Studio
Edge Impulse Studio

Story

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Schematics

ESP32-CAM and ST7735 TFT

Code

Live Image Classification on ESP32-CAM and ST7735 TFT using MobileNet v1 from Edge Impulse (TinyML)

Credits

Alan Wang

Alan Wang

32 projects • 102 followers
Please do not ask me for free help for school or company projects. My time is not open sourced and you cannot buy it with free compliments.

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