AI Security Guard on reComputer RK3576

An edge AI security monitoring system running on Seeed Studio reComputer RK3576, featuring real-time person detection, automatic snapshot capture, event logging, and browser-based monitoring using YOLOv8.

Overview

This project demonstrates a lightweight AI-powered security monitoring solution running entirely on the reComputer RK3576 AI Box.

Features:

• Real-time person detection
• Person counting
• Automatic intrusion snapshots
• Event logging
• Browser-based monitoring dashboard
• Fully local AI inference

Hardware

• Seeed Studio reComputer RK3576
• USB Camera
• Network Connection

Software

• Python 3.11
• YOLOv8
• OpenCV
• Flask

System Architecture

USB Camera

↓

YOLOv8 Detection

↓

Person Counting

↓

Snapshot & Event Log

↓

Flask Dashboard

Installation

Clone repository:

git clone https://github.com/inteintegrity/AI-Security-Guard-on-reComputer-RK3576.git

cd AI-Security-Guard-on-reComputer-RK3576

Create virtual environment:

python3 -m venv venv

source venv/bin/activate

Install dependencies:

pip install -r requirements.txt

Download YOLOv8 model:

python -c "from ultralytics import YOLO; YOLO('yolov8n.pt')"

Run

python ai_web_demo.py

Open browser:

http://RK3576_IP:5000

Screenshots

Detection Result

Event Log

Future Improvements

• Face Recognition
• MQTT Alert Notification
• Multi-Camera Support
• NPU Acceleration

License

MIT License