SharpAI/DeepCamera

🧭 What Does DeepCamera Actually Do? — A Plain-English Guide

In simple words: DeepCamera is a tool made for people who build software, for controlling lights, fans and devices automatically. It is completely free and open source — its code is public on GitHub, where 3,124 people have bookmarked it as worth using.

Step by step — how you would actually use it

1. An honest note first: DeepCamera is made for programmers and system administrators, not for everyday clicking.
2. They install it on their computer or server, following its README.
3. They connect it to their project or system, usually with a few settings or commands.
4. From then on, it helps them with controlling lights, fans and devices automatically as part of their daily technical work.
5. Everyday users meet this tool only indirectly — inside the apps and websites it helps to build and keep running.

💡 A real-life example: A student connects a tiny board with a tool like this and makes a light turn on automatically when a room gets dark.

RepoEasy wrote this simple explanation from the project's public data — its category, topics and description — so a beginner can understand it before downloading anything. For exact technical details, the project's own README (linked below) is the final word.

Quick Overview — What is this tool?

Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysis with Qwen, DeepSeek, SmolVLM, LLaVA, YOLO26. LLM-powered agentic security camera agent — watches, understands, remembers & guards your home via Telegram, Discord or Slack. Pluggable AI skills. OpenAI, Google, Anthropic or local AI. Runs on Mac Mini & AI PC.

This is the project's own description from GitHub — we show it as-is rather than inventing details.

What Can You Do With It?

• Download and run the complete source code on your own computer or server.
• Study how it works — every line of code is public.
• Use it in your own projects, subject to its license terms (see cost section below).
• Its GitHub topics describe its main areas: aiai-cameraai-nvrcameracctvcomputer-visiondeep-learningface-recognitionhome-assistanthome-securityllama-cppllmlocal-aimachine-learningobject-detectionpythonraspberry-pisecurity-cameravideo-surveillancevlm

Who Is This For?

This project is listed under Home Automation in Hardware & Internet of Things, a category made for makers, hobbyists and engineers.

Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)

Is It Free?

The source code is released under the MIT license. Open-source licenses like this usually allow free use, including commercial use — but always read the actual license file in the repository before relying on it. Note: the code being free does not mean hosted services, APIs or infrastructure around it are free.

Is It Actively Maintained?

Activity level: Active · Last code update: 17 Sep 2026 · Created: 05 Mar 2019 · Open issues: 19

How to Get Started

1. Open the repository on GitHub and read its README — that is the official, verified setup guide.
2. To download the full code, generate this repository's public link below and run the clone command in a terminal:

Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗

We never publish installation steps we have not verified — the README above is the source of truth.

Repository Statistics

⭐ 3124 stars · 🍴 488 forks · 🐛 19 open issues · 💻 Language: JavaScript · 📄 License: MIT · Default branch: master