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Free AI Motion Detection with Reolink, AI Tool & Home Assistant

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This article provides a detailed guide on setting up Reolink cameras with Home Assistant using the AI Tool for motion detection. It outlines the necessary components, installation steps, and configuration settings to achieve effective motion detection using Deepstack AI and MQTT integration.
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes
  • main points

    • 1
      Comprehensive step-by-step guide for setting up AI motion detection
    • 2
      Integration of multiple tools and technologies for enhanced functionality
    • 3
      Practical tips for optimizing camera settings and reducing false positives
  • unique insights

    • 1
      Utilization of sub-streams to minimize network traffic and improve performance
    • 2
      In-depth configuration of MQTT for efficient communication with Home Assistant
  • practical applications

    • The article serves as a practical resource for users looking to implement AI-based motion detection in their home automation systems, providing clear instructions and troubleshooting tips.
  • key topics

    • 1
      Integration of Reolink cameras with Home Assistant
    • 2
      Configuration of AI Tool for motion detection
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      Use of MQTT for communication between devices
  • key insights

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      Detailed instructions for setting up a complex home automation system
    • 2
      Innovative use of AI for enhancing security through motion detection
    • 3
      Practical advice on managing camera settings to optimize performance
  • learning outcomes

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      Understand how to configure Reolink cameras for AI motion detection
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      Learn to integrate Deepstack AI with Home Assistant using MQTT
    • 3
      Gain practical skills in optimizing camera settings for better performance
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Introduction: AI-Powered Motion Detection with Reolink and Home Assistant

Enhance your home security with an AI-powered motion detection system using Reolink cameras and Home Assistant. This guide provides a comprehensive, step-by-step approach to setting up a free and effective system using readily available tools. By integrating Reolink cameras with iSpy, AI-Tool, and Deepstack AI, you can achieve intelligent motion detection and receive timely notifications through Home Assistant.

Components Required for the Setup

To implement this AI motion detection system, you will need the following components: * **Reolink Cameras:** (e.g., RLC-520, RLC-810A) - These cameras provide the video feed for motion detection. * **iSpy v7.2.1.0 64-bit (Freeware):** This software manages the camera feeds and captures images upon motion detection. * **AI-Tool:** This tool processes the captured images using AI to identify specific objects. * **Deepstack AI:** This AI engine performs the object detection. * **Home Assistant:** This home automation platform integrates all components and provides notifications.

Step-by-Step Guide: Configuring iSpy for Camera Integration

1. **Install iSpy:** Download and install iSpy on your Windows machine. 2. **Add Cameras:** * Open iSpy and use the “Add IP Cameras with Wizard” option. * For Reolink RLC-520 and RLC-810A, select “Not Listed” and manually add the Make and Model. * Tick the “Scan RTSP Addresses” box and click Next. * Enter your camera's Username/Password. * If you know the camera’s IP address, input it manually or click “Scan Local Network”. * Choose the stream. Using the sub stream (e.g., FFMPEG:410:rtsp://user:password@IP Address:554/h264Preview_01_sub) is recommended to reduce network traffic. 3. **Name the Camera:** Once added, rename the camera using the “Edit Camera” option.

Setting Up Image Capture and Storage in iSpy

1. **Motion Detection Tab:** * Go to the “Edit Camera” screen and select the “Motion Detection” tab. * Draw detection zones over the areas where you want motion to be detected. Covering the entire area is acceptable, as the AI will refine the detection. 2. **Images Tab:** * Enable “Local Saving Enabled” and set “Save When” to “Motion Detection”. * Remove the “Overlay Text” if desired. 3. **Storage Tab:** * Set the “Media Location” to a folder you can easily remember (e.g., C:\aiinput\video\CameraName\Grabs). * Enable “Storage Management” to automatically delete images after a set period (e.g., 24 hours).

Installing and Configuring Deepstack AI for Windows

1. **Install Deepstack AI:** Download and install Deepstack AI for Windows. 2. **Download AI-Tool:** Get the AI-Tool .zip from GitHub. 3. **Extract AI-Tool:** Extract the contents of the .zip folder to a location like Program Files.

Configuring AI-Tool for Object Detection and MQTT

1. **DeepStack Tab:** * Select your Deepstack installation folder. * Set API to “Detection API”, Mode to “High”, and choose a Port (e.g., 83). * Tick “Automatically Start Deepstack”. 2. **Settings Tab:** * Set the “Default Input Path” to the folder used for Media Location in iSpy. * Set the “Deepstack URL” to localhost:port# (e.g., localhost:83). * Tick “Start with user login”. 3. **Cameras Tab:** * Click “Add” and give the camera a name (e.g., FrontDoor). * Set the “Input Folder” to the iSpy image folder (e.g., C:\aiinput\video\FrontDoor\Grabs). * Select the relevant objects you want detected (e.g., Person, Car). 4. **MQTT Settings:** * Under Actions, click “Settings” next to MQTT. * Input your Home Assistant MQTT broker Server:Port (e.g., 192.168.0.72:1883) and credentials. * The Topic will be ai/[Camera]/motion [Detection], which passes a payload like ai/FrontDoor/motion Person. * Set a “Cooldown Time” to avoid excessive notifications (e.g., one minute).

Integrating with Home Assistant: Configuration.yaml Setup

Update your Home Assistant `Configuration.yaml` file to listen for the MQTT payloads from AI-Tool. Here’s an example configuration: ```yaml binary_sensor: - platform: mqtt name: “Motion - Front Door - Vehicle” device_class: motion state_topic: “ai/FrontDoor/motion” payload_on: “Car” off_delay: 60 - platform: mqtt name: “Motion - Front Door - Person” device_class: motion state_topic: “ai/FrontDoor/motion” payload_on: “Person” off_delay: 60 ```

Creating Automations in Home Assistant for Notifications

Create automations in Home Assistant to trigger actions based on the MQTT messages. For example, to send a notification when a vehicle is detected: 1. **Name:** Motion Detection - Vehicle Front Door 2. **Mode:** Single 3. **Triggers:** * Type: MQTT * Topic: ai/FrontDoor/Motion * Payload: Vehicle 4. **Actions:** * Type: Call service * Service: Notify.mobile_app_iphone * Service Data: ```yaml message: Motion Detection - Front Door - Vehicle data: attachment: content-type: jpeg push: category: camera entity_id: camera.front_door ```

Troubleshooting and Tips for Optimal Performance

* **False Positives:** Adjust detection zones and object detection settings in AI-Tool to minimize false positives. * **Network Traffic:** Using the sub stream from the Reolink camera helps reduce network load. * **Cooldown Time:** Setting an appropriate cooldown time in AI-Tool prevents notification spam. * **Deepstack Performance:** Ensure Deepstack AI is running smoothly and has sufficient resources.

Conclusion: Enhancing Home Security with AI Motion Detection

By following this guide, you can set up a robust and free AI-powered motion detection system using Reolink cameras, iSpy, AI-Tool, and Deepstack AI integrated with Home Assistant. This system provides intelligent object detection and timely notifications, significantly enhancing your home security.

 Original link: https://community.home-assistant.io/t/reolink-ai-tool-home-assistant-free-edition-for-ai-motion-detection/254154

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