4.6 (546) · € 12.50 · En Stock
You only need a few lines of additional code to run powerful ML algorithms on ESP32, especially if you also use the Arduino framework and Edge Impulse.
Espressif ESP-EYE (ESP32) - Edge Impulse Documentation
TinyML: Live Image Classification on ESP32-CAM and TFT
ESP32 CAM Support - #41 by janjongboom - Help - Edge Impulse
Edge Impulse - Edge AI and Vision Alliance
Image Classification on the ESP32-CAM Using Edge Impulse, The ESP32-CAM, known for its low price, extensive capabilities and energy efficiency, is widely used in affordable IoT solutions. In this video, Louis
🚿🔎📲 Via Arduino Nicla Vision, extract data items from an MR60BHA1 60GHz mmWave radar, train an Edge Impulse neural network model to diagnose pipeline system defects, and inspect model detection results w/
Maxlab's Tokay Lite Is an Open Source Espressif ESP32-Powered Camera Board for Edge AI
LoRa, LoRaWan, Edge Devices, Opinions - Edge Impulse
Blog
ESP32-CAM Object Detection with Edge Impulse
Machine Vision Bundle — Arduino Online Shop
On your Espressif ESP-EYE (ESP32) development board - Edge Impulse Documentation
ESP32-CAM: TinyML Image Classification – Fruits vs Veggies «
ESP32-CAM Object Detection with Edge Impulse
ESP32-CAM: The Complete Machine Vision Guide