FLIR Lepton Hookup Guide

Contributors: Nick Poole
Favorited Favorite 7


When our team found out that we’d be testing a Long Wave Infrared (LWIR) camera, there were two words that we couldn’t stop saying: Predator Vision. That’s right, we were finally going to be able to see the invisible world of heat, which would aid us greatly if we ever found ourselves hunting a team of special operatives in a remote jungle… or, you know, trying not to scald ourselves on a hot cup of tea.

As it happens, the FLIR Lepton is an excellent little module for the price and Pure Engineering has done a bang up job spinning the breakout board and documentation.

FLiR Dev Kit


There are, however, a few minor “gotchas” in the setup process and so we figured it was best if we shared what we learned in playing with this thing.

But first… A bit of theory…

Suggested Reading


Electromagnetic radiation is all around (and within, and throughout) us and is comprised of everything from gamma radiation on the high frequency end to radio waves on the low frequency end. While most imaging sensors detect radiation in the visible spectrum (wavelengths from 380 to 700 nanometers), long Wave Infrared sensors detect radiation from 900 to 14,000 nanometers. This is known as the infrared spectrum, and it accounts for most of the thermal radiation emitted by objects near room temperature.

alt text

Electromagnetic spectrum with visible light highlighted. Wikimedia Commons.

The sensor inside the FLiR Lepton is a microbolometer array. Microbolometers are made up of materials which change resistance as they’re heated up by infrared radiation. By measuring this resistance, you can determine the temperature of the object that emitted the radiation and create a false-color image that encodes that data.

Thermal imaging of this type is often used in building inspection (to detect insulation leaks), automotive inspection (to monitor cooling performance) and medical diagnosis. Also, because of its ability to produce an image without visible light, thermal imaging is ideal for night vision cameras.

When it comes to robotics, thermal cameras are especially useful heat detectors because the image that they produce (by virtue of being, well, an image) can be processed using the same techniques and software as visible light images. Imagine using something like OpenCV to track, not just color centroids, but heat centroids! That’s right, you could be building heat-seeking robots right in your own home!

In fact, what are we waiting for? Let me give you the tour…


Today we’ll be setting up the Raspberry Pi example code as provided by Pure Engineering and featured in our product video. So, of course, we’ll be needing a Raspberry Pi… and not much else, actually. Just a handful of F/F jumper wires as well as a monitor, keyboard and accompanying cables for your Raspberry Pi. The example code has been tested on a Raspberry Pi model B, but it should work fine on any model so long as you have Raspbian installed.

It is worth mentioning that, while the Lepton module isn’t particularly sensitive to electrostatic discharge, it is a complex and relatively pricey component. You might want to take a few precautions while working with it so you don’t accidentally zap it.

Make sure that your Lepton module is securely snapped into the socket on the breakout board and grab a few F/F jumper wires.

Connect the FLIR breakout to the Raspberry Pi GPIO according to the diagram below. If you need a refresher on how the GPIO pins are oriented, visit our Raspberry Pi GPIO tutorial

alt text

Congratulations, that’s the hardware part done. Now onto the software configuration!


As I mentioned earlier, you’ll want to have the Raspbian OS installed on your Raspberry Pi. Boot it up, and open the Terminal program. Our first matter of business will be enabling the Pi’s SPI and I2C interfaces. Luckily, Raspbian makes this easy to do by including a utility called raspi-config. To run the utility just type:

sudo raspi-config

You should be presented with the following screen:

alt text

Click on the “Advanced Options” menu, as shown above.

alt text

Select SPI and follow the instructions on the following screens. After you’ve completed the SPI steps, do the same thing for I2C. When you exit raspi-config, it will ask if you want to reboot. Go ahead and do it so that the changes we just made will stick.

Pure Engineering’s example code is a QT application so we’ll need to get that dependency installed before we can compile it. Don’t worry, it’s easy to do. Make sure that the Pi has an Internet connection, and run the following command to install the QT dev tools:

sudo apt-get install qt4-dev-tools

Which will look something like this…

alt text

Once installation is complete, go to the Pure Engineering github repo and retrieve the raspberrypi_video directory. If you’re familiar with git, you can do this from the command line. For most people, it’s just as easy to browse to the above link, and click “Download ZIP”. You can download the file to whatever directory you like, then cd to that directory in Terminal, and unzip it using the following command:


alt text

Now cd into the unzipped folder “LeptonModule-master” and the directory “raspberrypi_video”. This directory contains all of the files you need to compile the example code. First, we need to “make” the Lepton SDK, so cd into the “LeptonSDKEmb32PUB” directory and run make.

Once that process has completed, cd back out to the “raspberrypi_video” directory and run qmake && make:

alt text

Congratulations! You’ve just compiled the example code, and you’re ready to run it. Simply type the following into your command line:

sudo ./raspberrypi_video

alt text

You may get an error like the one shown above: a red square in a blank window. If this is the case, carefully remove the Lepton module from the breakout board. That’s right, pull it from the socket, while it’s powered. Then (again, very carefully) pop it back into place. Images should start pouring in!

alt text

Visualizing the insulating properties of my beard

Resources and Going Further

Now that you’re successfully retrieving LWIR images from the Lepton module you can dig into the example code and apply it to your own project! Try piping the frames captured from your Lepton module into some computer vision software like SimpleCV!

Thermography has hundreds of applications. Spend some time just playing with the camera to see where you might find uses for it. We’d love to see what you do with the FLIR Dev Kit so be sure to leave a comment and tell us all about it!

For more information, check out the resources below:

Need some inspiration for your next project? Check out some of these related tutorials:

Raspberry Pi Twitter Monitor

How to use a Raspberry Pi to monitor Twitter for hashtags and blink an LED.

Setting Up the Pi Zero Wireless Pan-Tilt Camera

This tutorial will show you how to assemble, program, and access the Raspberry Pi Zero as a headless wireless pan-tilt camera.

Qwiic HAT for Raspberry Pi Hookup Guide

Get started interfacing your Qwiic enabled boards with your Raspberry Pi. This Qwiic connects the I2C bus (GND, 3.3V, SDA, and SCL) on your Raspberry Pi to an array of Qwiic connectors.

Setting up a Raspberry Pi 3 as an Access Point

This guide will show you how to configure a Raspberry Pi as an access point and connect it to your local Ethernet network to share Internet to other WiFi devices.

Or check out the FLiRPiCam project which includes a 3D printed enclosure files: