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alwaysai / thermal-imaging

Thermal Imaging using a FLiR Lepton camera and PureThermal Board
Apache License 2.0
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Thermal Imaging

This repo contains applications that demonstrate how to use FLiR Lepton thermal camera. The FLiR sensor uses microbolometer array that changes resistance as its heated up. By measuring resistance the sensor can determine the temperature of detected objects. The sensor's firmware creates a colored image that encodes that resistance data into heat map. The image can be processed using the same techniques as visible light.

Lepton

To use the applications in this repo you will need a FLir Lepton camera module, information on where to purchase one can be found here

14670-PureThermal_2-_FLiR_Lepton_Dev_Board-01

To get USB connectivity you will need a PureThermal board, information on where to purchase one can be found here

Applications for thermal cameras:

  1. Night Vision - Detect objects in thermal spectrum at night
  2. Medical diagnosis - Temperature taking
  3. Building inspection - Detect insulation leaks
  4. Automotive - Monitor cooling performance
  5. Tracking - Infrared radiation based centroid tracking

Requirements

Repo Programs

Folder Description
verify-thermal-camera Application checks that FLiR Lepton and TrueThermal board are working on the alwaysAI platform
hsv Application visualizes HSV Value Channel in thermal spectrum
thermal-edges Application use Canny edge detector to find edges of objects detected by thermal camera
thermal-stream-save Application saves a thermal video stream from a FLiR Lepton camera mounted on TrueThermal board
thermal-detector Application detects objects in the thermal spectrum and bounds the edges of the detected objects

Usage

FLiR Lepton Camera needs to be connected to PureThermal board that provides USB connectivity to use the applications in this repo.

Once the alwaysAI tools are installed on your development machine (or edge device if developing directly on it) you can install and run the app with the following CLI commands:

To perform initial configuration of the app:

aai app configure

To prepare the runtime environment and install app dependencies:

aai app install

To start the app:

aai app start

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