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aiot

Edge Computing and Artificial Intelligence of Things (AIoT) involve performing localized data processing directly on edge devices rather than relying entirely on centralized cloud servers. This architectural approach combines Internet of Things (IoT) hardware with optimized, lightweight machine learning models to enable real-time decision-making, drastically reduce network latency, and improve overall data privacy and bandwidth efficiency.

Here are 212 public repositories matching this topic...

AidLearning-FrameWork

🔥🔥🔥AidLearning is a powerful AIOT development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports CPU+GPU+NPU for inference with high performance acceleration...Linux on Android or HarmonyOS

  • Updated Apr 2, 2026
  • Python

基于Golang/go-zero的AIoT物联网平台与SaaS开发底座,融合AI智能体、RAG知识库、记忆和工具调用。支持多租户、多应用、项目管理、设备管理、物模型、场景联动、告警、组态及3D数字孪生。提供MQTT/CoAP/HTTP/TCP接入及阿里云、腾讯云、涂鸦云对接,支持MySQL/PostgreSQL。借助Skills/CLI快速开发,适用于智慧能源、楼宇、停车、家居、农业与工业。

  • Updated Oct 1, 2026
  • Go

This project features a robot eye animation on a 0.96" OLED screen that dynamically changes based on the sentiment of the user's text input. Powered by the CAP10 Pratham board, this innovation integrates emotional intelligence into robotics, allowing bots to visually express emotions in real-time.

  • Updated Sep 7, 2024
  • Jupyter Notebook
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github.com/topics/edge-computing
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