The OpenClaw agent framework is an open‑source platform that lets developers build autonomous agents for edge AI and security. It runs as a single binary, supports multi‑profile setups, and includes self‑healing and token‑lock isolation.
YOLO26 Edge AI Vision is a lightweight, high‑speed object‑detection model that runs on edge devices like Raspberry Pi and Jetson Nano. It offers sub‑millisecond inference and high accuracy, making it ideal for real‑time applications.
TinyML fall detection turns a cheap accelerometer and micro‑controller into a privacy‑first, battery‑powered device that can spot accidental drops in real time. The guide covers hardware, data collection, model training, quantization, and deployment.
TinyML emotion detection lets a small micro‑controller read facial emotions in real time, all on a coin‑cell battery. The guide covers hardware, dataset creation, model training, quantization, and deployment on ESP32‑C3.
TinyML air quality monitoring lets you build a low‑power, privacy‑first device that predicts indoor air quality on an ESP32‑C3. The guide covers sensor selection, data collection, model training, quantization, and deployment.
TinyML real‑time sign language recognition lets you build a low‑power translator that runs on an ESP32‑C3. The guide covers dataset prep, model training, quantization, and deployment.
TinyML indoor positioning lets everyday devices figure out where they are inside buildings using BLE beacons and a small neural net that runs on microcontrollers. This guide covers data collection, training, quantization, and deployment.
Edge AI audio event detection lets microcontrollers listen, classify, and react to sounds instantly—no cloud needed. This guide walks through data collection, feature extraction, model training, quantization, and deployment on Raspberry Pi 4 and ESP32.
Drone swarm AI lets you build small, autonomous fleets that can map crops, deliver medicine, or aid in emergencies. This guide covers data, training, deployment, and future trends.
TinyML neural architecture search automates the design of compact AI models that run on microcontrollers. This guide shows how to search, quantify, and deploy a model on an ESP32.