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A smart-home fire recognition camera with Homekit support.

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IHFRS - Integrated Home Fire Recognition System

The IHFRS is a smart-home camera that leverages the use of a FLIR Lepton 3.5 sensor to monitor a living area for abnormal spikes in temperature. It features native Apple Homekit integration and has a local web interface and WiFi host for setup.

Future work for this project includes moving processing to an ESP32, integration with Matter (to easily support multiple smart-home ecosystems), the addition of machine learning to reduce false positives, and to offer more user-controlled settings via the GUI.

Installation

  1. On the SD card for your Raspberry Pi, install Raspbian OS Lite. (You must choose 32-bit if using Pi Zero W, read below)
    1. If using Raspberry Pi Imager (suggested), make sure to use the settings cog to set the following BEFORE installing...
      1. Hostname: your choice
      2. Enable SSH: (password authentication)
      3. Set username and password: Username must = "pi" for now. Password can be your choice.
      4. Configure wireless LAN: Be sure to choose a 2.4GHz capable network.
        1. Set wireless LAN country: "US"
      5. Set locale settings
    2. If you choose to flash the OS using other means, ensure you set the above settings, so you can connect wirelessly to the PI.
  2. Download the IHFRS code files using either of these methods:
    1. From the "top-level" of this repository: (where you currently are)
      • Click the green "Code" button and download the zip file to your computer
      • OR
      • Right-click on the IHFRS folder, then "Download linked file as.."
  3. Insert SD card into RPI and turn on. Allow RPI to boot and connect to Wi-Fi (~2 mins).
    • If you did not set up the Wi-Fi, hostname, etc., now is the time to connect a keyboard and monitor and use sudo raspi-config to set up those settings. There are other ways to do this as well.
  4. Ensure your RPI is on your local network:
    • Use terminal or command prompt to ping *hostname*
    • OR
    • Try connecting to RPI using SSH
    • OR
    • Try connecting with FTP or SFTP utility
  5. Use FTP or SFTP to upload IHFRS folder only to home directory /home/pi/ on the RPI.
  6. SSH into your RPI and run the following, in order:
    1. cd /IHFRS
    2. sudo python init_setup.py (~8 mins)
      • Observe the output as it runs. You will be required to answer multiple questions. No RED text should appear.
      • use y to reboot the PI when it reaches the end.
  7. Make the necessary hardware connections. Pictures are shown at the very bottom of this README.
    • TCAM hardware connection (JUMPER [MODE - GND], 5V, GND, TXD0, RXD0, SPI0_MISO, SPI0_CE0, SPI0_CLK)
    • MQ2 Sensor connection (5V, GND, GPIO4) (Use "DO" (Digital Out) on the MQ2 sensor for GPIO4, NOT "AO")
  8. In the SSH session (Working directory is still IHFRS) run python IHFRS_run.py
  9. The code is now running. (This will be automatic later on.)

Acknowledgements:

Dan Julio

https://github.com/danjulio

  • Hardware and base code for TCAM board featuring the FLIR Lepton 3.5 sensor.

Todd Lawall

https://github.com/bitreaper

  • Python Implementation of TCAM code and special assistance with tracking down errors.

Ivan Kalchev

https://github.com/ikalchev

  • HAP-Python Library for Homekit Integration

Jason Burgett

https://github.com/jasbur

  • RaspiWiFi - Initial WiFi configuration for RPI

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A smart-home fire recognition camera with Homekit support.

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