TinyML

Everything tagged “TinyML” across notes, resources, and Mochi logs.

Powered enclosed mmWave radar device with a smooth RF radome window while a hand performs a gesture nearby

IoT SolutionsIoT SolutionsSeptember 8, 2026

mmWave Gesture Recognition with AI – Part 2: From Radar Frames to Edge ML

Build a practical mmWave radar gesture classifier: choose usable radar data, collect a balanced dataset, train a compact model, and deploy confidence-gated inference.

IoT Solutions mmWave Radar Gesture Recognition Edge AI Machine Learning TinyML Embedded Systems 60 GHz Radar Human Machine Interface

Realistic smart speaker prototype beside an ESP32-S3 board and laptop with audio waveforms

NotesFirmwareSeptember 6, 2026

Which Wake Word Is Better? microWakeWord vs Google vs Alexa

A practical comparison of microWakeWord, Google Assistant, and Alexa by architecture, control, privacy, hardware fit, and ESP32-S3 integration.

Wake Word TinyML ESP32-S3 Google Assistant Alexa Voice Assistant Privacy

ESP32 IoT learning roadmap represented by connected prototype stages on a real electronics workbench

NotesFirmwareSeptember 3, 2026

ESP32 IoT Project Roadmap: From LED to Production

An interactive ESP32 project roadmap from LEDs and buttons through connected sensors and edge ML to production OTA and security, with practical guides at each level.

ESP32 IoT Project Roadmap Beginner Guide ESP-IDF TinyML OTA IoT Security

An unbranded smart speaker with a physical microphone mute switch in a real living room

NotesFirmwareAugust 30, 2026

Wake-word detection: always-listening smart devices

A practical look at local wake-word detection on ESP32-S3 devices: audio framing, microWakeWord, threshold tuning, false activations, microphone mute, and privacy.

Wake Word TinyML ESP32-S3 Audio Voice Assistant Privacy

Camera-equipped ESP32-S3 prototype running person detection locally on a workbench

NotesFirmwareAugust 18, 2026

TinyML on ESP32: Running AI on the Device

How I run a small person-detection model on ESP32 with TensorFlow Lite Micro and ESP-NN, from memory limits to testing Espressif's example.

Firmware Hardware ESP32-S3 TinyML Machine Learning Edge AI