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Qchip

by Qmobot LLP

Xtensa LX6 with 320 KB SRAM supports basic ML inference for lightweight models

Board Specifications

Clock Speed 240 MHz
SRAM 320 KB
Flash 4 MB
Connectivity wifi, bluetooth, ethernet, can
Supported Frameworks arduino, espidf
MCU Family ESP32 (Espressif)
Platform espressif32
Data synced from PlatformIO registry View source on GitHub ↗

Hardware Guides for ESP32

ESP32 Anomaly Detection with Edge Impulse

Excellent

ESP32 Anomaly Detection with TFLite Micro

Good

ESP32 Fall Detection with Edge Impulse

Excellent

ESP32 Fall Detection with TFLite Micro

Excellent

ESP32 Gesture Recognition with Edge Impulse

Excellent

ESP32 Gesture Recognition with TFLite Micro

Excellent

Explore More

All ESP32 guides All resources MCU Compatibility Checker

Orchestrate Qchip Edge AI with ForestHub

The Qchip runs inference on-device. ForestHub on your Linux edge gateway ingests its results over MQTT, orchestrates the sense-reason-act loop as a deterministic, auditable graph, and acts on the line.

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