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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
本地监控 + AI 视觉 — LAN-based smartphone-powered AI monitoring framework with structured event output for data acquisition and analysis.
| Date | Stars |
|---|---|
| 2026-07-24 | 637 |
| 2026-07-25 | 637 |
| 2026-07-28 | 637 |
| 2026-07-30 | 668 |
| 2026-08-06 | 668 |
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<a id="top"></a> # Sentinel Real-Time Monitoring System [](#stars) [](#stars) [](https://github.com/suzuran0y/CCTV-Smartphone-AI-Monitoring/issues/2) [](https://www.python.org/) [](CamFlow_UserGuide.md) <br> [🇺🇸 English](README.md) | [🇨🇳 中文](README_CN.md) This project has been featured by ruanyf's [weekly](#CR) and xuanli199's [Tech Review](#CR). We sincerely appreciate their recognition and support. 🚀 Latest Update (ongoing): [v1.1.2 — 2026-06-26](https://github.com/suzuran0y/CCTV-Smartphone-AI-Monitoring/issues/2) --- Sentinel is a distributed real-time vision system framework for local area networks (LAN). <p align="center"> <img src="assets/readme_banner_2.png" width="92%"> </p> <p align="center"> <em>Figure 1 – System banner (AI-generated — author's drawing skills not implemented ·_· )</em> </p> ♻️ It repurposes unused Android devices as network camera nodes, enabling: - Distributed image acquisition - Real-time PC-side video streaming - AI-driven monitoring and analysis It adopts a layered architecture of **“mobile capture + PC processing + browser control”**, supporting real-time image preview, local video recording, and structured event analysis, and can be extended to integrate multimodal AI models. - The system consists of a PC Dashboard and an Android client CamFlow. This project can be used both as a lightweight local monitoring system and as an engineering prototype platform for visual data acquisition and intelligent analysis. <p align="center"> <img src="assets/ai_monitoring_record.png" alt="Sentinel system running demo" width="92%"> </p> <p align="center"> <em>Figure 2 – System demonstration（Dashboard + AI Monitoring）</em> </p> > Before first use, it is strongly recommended to read the chapters in order. Click to jump: > ① [Project Overview](#sec1) → ② [Project Deployment](#sec3) → ③ [Run the Project](#sec4) → ④ [Dashboard Guide](#sec43) --- ## Table of Contents - [1. Project Overview](#sec1) - [1.1. Core Capabilities](#sec11) - [1.2. System Architecture](#sec12) - [1.3. Practical Applications](#sec13) - [2. Implemented Features](#sec2) - [2.1. Real-time Video Preview](#sec21) - [2.2. System Parameter Customization](#sec22) - [2.3. AI Triggered Monitoring & Controllable Cognitive Output](#sec23) - [2.4. Mobile Camera Capture App (CamFlow)](#sec24) - [3. Project Deployment](#sec3) - [3.1. Environment Requirements](#sec31) - [3.2. Get the Source Code](#sec32) - [3.3. PC-side Deployment](#sec33) - [3.4. Android-side Deployment](#sec34) - [4. Run the Project](#sec4) - [4.1. Start the PC Side](#sec41) - [4.2. Start CamFlow](#sec42) - [4.3. Dashboard Guide](#sec43) - [4.4. AI Monitoring Features](#sec44) - [4.5. Dashboard AI Module Guide](#sec45) - [4.6. Third-party Model Integration](#sec46) - [5. Version Information & Notes](#sec5) - [5.1. System Version](#sec51) - [5.2. Test Environment](#sec52) - [5.3. Roadmap](#sec53) - [5.4. Usage & License](#sec54) --- <a id="sec1"></a> ## 1. Project Overview [⌃](#top) Sentinel is a real-time monitoring system that runs on a LAN, and it can also serve as a tool for data acquisition and analysis. It consists of the following two parts: - **CamFlow (Android client)**: captures the phone camera feed and uploads it to the server as single-frame JPEG images. - **PC Dashboard (Flask + Web UI)**: receives image frames and provides live preview, video recording, screenshot saving, log viewing, and optional AI triggered monitoring. The system supports running in a local LAN environment without relying on cloud services. H
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d93fcc799b270ec2, topic:multimodal, readme:multimodal
matched fp:d93fcc799b270ec2, topic:computer-vision
matched fp:d93fcc799b270ec2, topic:structured-output