21 lines
1.1 KiB
Markdown
21 lines
1.1 KiB
Markdown
---
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name: NASAI & NVRAI Setup
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description: Local NAS AI system with YOLO detection on camera feeds, NVRAI web forensics tool, and database server on SDD
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type: project
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originSessionId: fc964260-abe2-4639-a6be-76c3d1e6c39b
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---
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- **NASAI** disk mounted at `/mnt/NASAI` (sda, 465.8GB Toshiba) - watches Xiaomi camera videos with YOLO11n model
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- **NASAI Watcher** venv at `/home/yohay/nasai-venv/`, detects: person, car, truck, cat, dog, bird
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- **NVRAI** web app at https://nvrai.yohayai.com/ (behind Cloudflare Access), NVR AI Forensics tool
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- **Xiaomi cameras**: device IDs `607ea45083fb`, `788b2ad356bb`
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- **DATABASES** disk mounted at `/mnt/DATABASES` (sdd, 447.1GB SanDisk SSD) - MariaDB + PostgreSQL
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- MariaDB data: `/mnt/DATABASES/mariadb/`
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- PostgreSQL data: `/mnt/DATABASES/postgresql/`
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- **Unused disks**: sdb (SanDisk 223.6GB), sdc (Transcend 111.8GB) - GPT empty
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- **SMB (Samba)** running for file sharing
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- **Tailscale** VPN active
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- MariaDB has a `wordpress` database
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**Why:** Yohay is building an AI-powered video surveillance/forensics system
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**How to apply:** When working on this project, data lives on dedicated SSD mounts, not on the NVMe system drive
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