Enhance Home Security with Deepstack AI Object Detection!
Table of Contents:
- Introduction
- Setting Up Object Detection in Home Assistant
- Prerequisites
- Hardware and Setup
- Setting Up the IP Camera
- Integrating the Camera in Home Assistant
- Installing Agent DVR and DeepStack AI
- Configuring Object Detection in Home Assistant
- Setting Up DeepStack
- Adding MQTT Integration in Home Assistant
- Adding Binary Sensor to Home Assistant
- Testing the Object Detection
- Analyzing the Results
- Conclusion
Setting Up Object Detection in Home Assistant
In this guide, I will Show You how to set up object detection in Home Assistant using Agent DVR and DeepStack artificial intelligence. Home Assistant is a powerful do-it-yourself platform that allows you to inter-operate all smart home devices from various ecosystems and manufacturers. With the integration of object detection sensors, you can set up smart automations in Home Assistant using your IP camera as the source image.
Prerequisites
Before we proceed with the setup, let's make sure you have the following prerequisites:
- Home Assistant and Docker installed on an x86 device
- An IP camera connected to your network
- Basic knowledge of Docker and Home Assistant configurations
Hardware and Setup
In this guide, we will be using the Anki C800 and Yankee NC 400 cameras. These cameras offer great performance at affordable prices. You can find a detailed review of the C800 camera on The Hookup YouTube Channel. We will provide links to the Relevant documentation throughout the guide.
To set up the hardware, we recommend using a virtual machine running a Debian-Based operating system. We have used Proxmox as our hypervisor, but you can use any hypervisor of your choice. Make sure you allocate enough resources, such as virtual CPUs and RAM, based on your camera setup.
Setting Up the IP Camera
To begin, connect your IP camera to your network and determine its IP address. You can either check your router's DHCP lease table or use apps like Fing or WiFi Analyzer to discover the connected devices on your network. Anki cameras have a software called SADP (Supplied Active Device Platform) that helps in discovering and managing the cameras on your network.
Once you have the IP address of your camera, access its web interface by entering the IP address in a web browser. Configure the time settings, security services, and network settings according to your preferences. Remember to enable HTTPS for secure communication.
Integrating the Camera in Home Assistant
After setting up the IP camera, we can now integrate it into Home Assistant. We will use Agent DVR, an advanced video surveillance platform, to manage the IP camera. Agent DVR can be installed on various platforms, including Windows, Mac, Linux, and Raspberry Pi. In this guide, we will use Docker to install Agent DVR.
Access your virtual machine via SSH or a terminal, and use the Docker Compose script to install and configure Agent DVR. This script specifies the user and group IDs for storing recordings and sets the correct time zone. Once the installation is complete, access the Agent DVR web interface by visiting the designated port on your virtual machine's IP address.
In Agent DVR, add your IP camera by selecting the "Add New Device" option and following the IP camera wizard. Make sure to configure the appropriate settings, such as the camera Type, username, password, and IP address. After adding the camera, configure any desired actions or alerts, such as MQTT events, for object detection.
Installing Agent DVR and DeepStack AI
Next, we need to install DeepStack AI, which will analyze the frames captured by Agent DVR for object detection. Similar to Agent DVR, we will use Docker to install DeepStack AI. Access your virtual machine and execute the Docker Compose script to install DeepStack AI. Make sure the user and group IDs match those specified in the Agent DVR configuration.
In Agent DVR settings, enable MQTT and enter the relevant information for your Home Assistant server. Make sure you have the Mosquitto broker add-on installed in Home Assistant and configure the MQTT integration within Home Assistant. This will allow Home Assistant to subscribe to MQTT topics and extract data for use in automation.
Configuring Object Detection in Home Assistant
To configure object detection in Home Assistant, add the binary sensor to your Home Assistant configuration file. This binary sensor will reflect the state of the object detection and provide information on the detected objects, such as their labels, location, and confidence.
Restart Home Assistant and Agent DVR to Apply the configuration changes. Once both systems are up and running, you can access the Home Assistant dashboard to view the live stream from the IP camera and monitor the object detection results. You can also Create automations and alerts based on the object detection events.
Testing the Object Detection
To test the object detection, you can use a test stream that loops a predefined video. This will generate objects for DeepStack to detect. Access the Developer Tools in Home Assistant and search for the object detection binary sensor. You should see the state of the binary sensor change accordingly when objects are detected.
By clicking on the binary sensor, you can view the history and results of the object detection. The objects detected, along with their labels, locations, and confidence levels, will be displayed. This information can be used to trigger further automations or notifications.
Analyzing the Results
To analyze the results of the object detection, you can access the Agent DVR interface and navigate to the Photos section. Here, you will find the captured images and additional information about the detected objects. You can also configure alerts and filters in Agent DVR to customize the behavior of the object detection.
Conclusion
In conclusion, setting up object detection in Home Assistant using Agent DVR and DeepStack AI allows you to create powerful automations and alerts based on the objects detected by your IP camera. With the integration of these tools, you can enhance the security and convenience of your smart home. If you have any questions or need further assistance, feel free to leave a comment or subscribe to our channel for more Home Assistant videos.