src/content/designing_and_building_an_ai_enhanced_cctv_system_at_home.md

@@ -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
+<img alt="CCTV Architecture" height="auto" width="100%" src="{attach}/images/CCTV_ARCH.png">
-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]
-```
 
 ---
 
@@ -198,4 +185,4 @@ Building an AI‑enhanced CCTV system from the ground up has been a rewarding bl
 
 If you’re a hobbyist, a small‑business owner, or anyone who values data sovereignty, the stack described here offers a solid foundation. Start with a single camera, get comfortable with Frigate’s 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!