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Author SHA1 Message Date
dc4884feb0 Merge pull request 'update architecture image' (#23) from mermaid-plugin-addition into master
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Reviewed-on: #23
2026-02-03 16:45:25 +10:00
4de42fd225
update architecture image 2026-02-03 16:44:11 +10:00
6f3dc0626f update trivy container so apt doesn't cause failure
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2026-02-03 14:09:41 +10:00
6d91ea1f9b Merge pull request 'designing_and_building_an_ai_enhanced_cctv_system_at_home' (#22) from designing_and_building_an_ai_enhanced_cctv_system_at_home into master
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Reviewed-on: #22
2026-02-03 13:24:15 +10:00
3 changed files with 4 additions and 17 deletions

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@ -48,11 +48,11 @@ jobs:
run: |
echo "Installing Trivy "
sudo apt-get update
sudo apt-get install wget apt-transport-https gnupg lsb-release
sudo apt-get install -y wget apt-transport-https gnupg lsb-release
wget -qO - https://aquasecurity.github.io/trivy-repo/deb/public.key | sudo apt-key add -
echo deb https://aquasecurity.github.io/trivy-repo/deb $(lsb_release -sc) main | sudo tee -a /etc/apt/sources.list.d/trivy.list
sudo apt-get update
sudo apt-get install trivy
sudo apt-get install -y trivy
trivy image --format table --exit-code 1 --ignore-unfixed --vuln-type os,library --severity HIGH,CRITICAL git.aridgwayweb.com/armistace/blog:latest
- name: Deploy

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@ -175,20 +175,7 @@ Thank you, Dad. Your patience, muscle, and willingness to get your hands dirty m
### Bringing It All Together The Architecture
```mermaid
graph LR
L[Camera]
A[Camera] --> D[Frigate NVR]
D --> B[Frigate Object Detections]
B --> C[Send snapshot to Ollama -qwen3-vl-4b- for semantic search AI enhancement]
D --> E[Home Assistant -MQTT- ]
E --> F[ -MQTT- Object Detection from Frigate]
F --> G[Copy Image to Home Assistant]
G --> H[Send image to Ollama -qwen3-vl-2b- for context enhancement]
H --> I[Send response back via Matrix]
J[Camera]
K[Future Camera]
```
<img alt="CCTV Architecture" height="auto" width="100%" src="{attach}/images/CCTV_ARCH.png">
---
@ -198,4 +185,4 @@ Building an AIenhanced CCTV system from the ground up has been a rewarding bl
If youre a hobbyist, a smallbusiness owner, or anyone who values data sovereignty, the stack described here offers a solid foundation. Start with a single camera, get comfortable with Frigates YAML configuration, and gradually layer on the AI components. Remember that the most valuable part of the journey is the learning curve: each tweak teaches you something new about video streaming, inference workloads, and the quirks of your own network.
So, roll up your sleeves, grab a ladder (or enlist a dad), and give your home the eyes it deserves—without handing the footage over to a faceless cloud. The future of home surveillance is local, intelligent, and, most importantly, under your control. Cheers!
So, roll up your sleeves, grab a ladder (or enlist a dad), and give your home the eyes it deserves—without handing the footage over to a faceless cloud. The future of home surveillance is local, intelligent, and, most importantly, under your control. Cheers!

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