01
XIAO ESP32S3 Sense camera examples
Seeed library and examples for deploying Grove Vision AI and SSCMA machine-learning models with Arduino-class hosts.
Edge AI
Run useful vision, audio and inference workloads close to the sensor.
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02
TinyML keyword spotting on XIAO ESP32S3 Sense
Train and deploy an audio keyword-spotting model that runs from the board's built-in microphone.
03
SenseCAP Watcher open-source firmware
Build and customize the device firmware and local sensing pipeline for the SenseCAP Watcher.
04
OpenMV machine vision on Nicla Vision
Program the camera and sensors through OpenMV's MicroPython-based computer-vision environment.
05
TinyML person detection with Nicla Vision
Arduino's first-party tutorial trains and deploys a custom image-classification model on Nicla Vision with Edge Impulse.
Start an edge-AI camera project: XIAO Sense vs Nicla Vision vs Watcher
Choose XIAO ESP32S3 Sense for the lowest-cost camera prototype, Nicla Vision for a compact OpenMV/TinyML development board with richer onboard sensing, and SenseCAP Watcher for a packaged event-detection appliance that integrates with automation systems. Prove capture and lighting first, then measure an inference model on examples from the real deployment rather than trusting a demo score.
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