GraphCanon updated 3w · GitHub synced 3w
Decision brief
SharpAI/DeepCamera is an open-source AI platform for local video analysis with LLM-powered security features.
Good fit when
- When you want to integrate advanced local VLM video analysis with your home surveillance setup using multiple communication platforms.
- If you prefer a platform that supports Mac Mini and custom AI PCs, offering hardware acceleration for various computing devices.
Avoid when
- Avoid if you need cloud-based solutions or services without support for local LLM integration through specific platforms like Telegram or Discord.
- Not recommended if your project requires extensive customization beyond the provided skills and you prefer full control over model setup.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (43d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install DeepCameraSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
SharpAI/DeepCamera provides a platform for local VLM video analysis and is equipped with various LLM-powered security features that integrate seamlessly into home surveillance through multiple communication platforms.
Capability facts
- Languages
- javascript
Source: github.language · Jul 31, 2026
Categories
Tags
README
🚀 Getting Started with SharpAI Aegis
The easiest way to run DeepCamera's AI skills. Aegis connects everything — cameras, models, skills, and you.
- 📷 Connect cameras in seconds — add RTSP/ONVIF cameras, webcams, or iPhone cameras for a quick test
- 🤖 Built-in local LLM & VLM — llama-server included, no separate setup needed
- 📦 One-click skill deployment — install skills from the catalog with AI-assisted troubleshooting
- 🔽 One-click HuggingFace downloads — browse and run Qwen, DeepSeek, SmolVLM, LLaVA, MiniCPM-V
- 📊 Find the best VLM for your machine — benchmark models on your own hardware with HomeSec-Bench
- 💬 Talk to your guard — via Telegram, Discord, or Slack. Ask what happened, tell it what to watch for, get AI-reasoned answers with footage.
Hardware Acceleration
The shared env_config.py auto-detects your GPU and converts the model to the fastest native format — zero manual setup:
| Your Hardware | Optimized Format | Runtime | Speedup vs PyTorch |
|---|---|---|---|
| NVIDIA GPU (RTX, Jetson) | TensorRT .engine | CUDA | 3-5x |
| Apple Silicon (M1–M4) | CoreML .mlpackage | ANE + GPU | ~2x |
| Intel (CPU, iGPU, NPU) | OpenVINO IR .xml | OpenVINO | 2-3x |
| AMD GPU (RX, MI) | ONNX Runtime | ROCm | 1.5-2x |
| Any CPU | ONNX Runtime | CPU | ~1.5x |
| Google Coral USB Accelerator | Edge TPU .tflite | ai-edge-litert + libedgetpu | ~4ms flat |
For agents
This page has a .md twin and JSON over the API.