Frigate Installation Project Plan#

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UniFi Protect remains the primary NVR. Frigate will be an additional detection and classification layer. No installation or configuration should begin until the read-only validation phase is complete.

1. Project Objectives#

1.1 Functional Objectives#

The system will detect animals using Frigate motion detection, object detection, tracking, and zones.

It will distinguish coyotes from chickens, dogs, cats, deer, raccoons, foxes, and unknown animals. The initial tuning priority is avoiding missed coyote detections; false positives can be reduced afterward.

Local AI Camera Detection Documentation#

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This document describes the working local visual-classification implementation and the information required to recreate it. It is documentation, not a task list.

1. Purpose and Design Principles#

1.1 Purpose#

The system adds a second-stage visual classifier to the existing UniFi Protect and Home Assistant installation.

UniFi Protect remains responsible for recording video and detecting broad event categories such as animal, person, or vehicle. Home Assistant receives the Protect event, obtains an image, sends it to a local vision-capable Ollama model, evaluates the structured result, records the decision, and sends a notification only when the objective-specific policy accepts the result.

UniFi Protect Surveillance Camera Network Security Analysis#

VERDICT: [VERIFIED] SECURE AND HARDENED SECURITY SCORE: 97 / 100 (Grade: A+) An empirical security audit of the Cameras network (10.1.4.0/24, interface br14) confirms that all 7 UniFi Protect HD/4K security cameras operate on a dedicated surveillance VLAN protected by Linux kernel firewall rules (iptables), local UniFi Protect NVR video recording, gateway management isolation, active honeypot detection (10.1.4.254), and strict inter-VLAN boundary drops.