Description: The FLiR Dev Kit includes a breakout as well as a Lepton® longwave infrared (LWIR) imager. With this kit you will be able to bring FLiR’s thermal imaging reliability and power to your Arduino, Raspberry Pi, or any ARM based development tool all in an easy to access breadboard friendly package. All you need to do to get this kit set up, simply attach the Lepton® imager module into the provided breakout, connect the headers, and you will be seeing in full darkness in no time!
The Lepton® LWIR module included in each FLiR Dev Kit acts as a sort of camera and packs a resolution of 80 × 60 pixels into a camera body that is smaller than a dime and captures infrared radiation input in its nominal response wavelength band (from 8 to 14 microns) and outputs a uniform thermal image. Meanwhile, each breakout board in these kits provides the socket for the Lepton®, power supply’s, 25Mhz Crystal Oscillator, 100 mil header for use in a breadboard or wiring to any host system. A few things to consider about this kit: the breakout board will accept a 3-5V input and regulate it to what the Lepton® wants, to read an image from the lepton module all you need is an SPI port, and to configure the camera settings you also need an I2C port, although this is not required.
Note: This kit comes in two separate parts and will need to be assembled once received. The Lepton® module is extremely sensitive to electrostatic discharge (ESD). When inserting it into the breakout board be sure to use proper personal grounding, such as a grounding wrist strap, to prevent damage the module.
Based on 22 ratings:
3 of 3 found this helpful:
This FlIR system will work with almost any controller. I doubt I’d want it to work directly from an Arduino but pretty much anything SPI and an i2c channels.
Unlike a previous reviewer, I would have dropped it a star or three if they had hooked this up with has Raspbery Pi Hat. Even though I like the Pi, I doubt I’d have bought thi/ thinking it’s only an expensive pi camera.
As it is I can hook it up to whatever I’m using for my robots this week.
It can do very simple things such as telling me the hottest parts of an image, which are almost always point of interest.
By using OpenCV I can immediately tell where the faces are unless people are wearing masks.
For robotics, this device is a blessing.
I’m thinking about hooking it to my Pi first beaus that’s where the sample code is. Perhaps I can improve it.
One thing that surprised me is how small this really is. It should be able to be hidden anywhere on a robot.
My only minor complaint is the price, but as I spent my own money to get this, I can’t think it was too expensive.
4 of 4 found this helpful:
Let me say that I had no problem installing this microscopic device on a custom shield on my Raspberri PI …no problem at all.
Now I’m combining the raspberry campera images (luminance) and FLiR Lepton Camera images (crominance), only with resize+color mapping (using a gradient), with stunning results!
In this way the lower resolution of the Lepton Camera don’t affect the image resolution (only the crominance). Only at minimal distance (camera-subject) I feel the need of a distance sensor that could drive an orizontal-offset between luminance and crominance, to reduce parallax error.
11 of 11 found this helpful:
This is a very cool device, but the software is still very rough.
This product is in desperate need of the sparkfun how-to/example-code treatment. As is, I’d agree with the difficulty/skills assessment, but I’m not sure it needs to be like this.
Getting the hardware connected to a Raspberry Pi was pretty straight forward. Getting the software installed/working was challenging, but when I had to hack the video example to splice in code to toggle the CS/GPIO line I got the video working, then the magic happened!
Seeing invisible stuff was super cool. But I have to say 80x60 pixels is way smaller than I was ready for. I mean that’s the size of a typical icon these days. But seeing the invisible is awesome.
PS It isn’t hard to get the module into an unresponsive state where you think you’ve blown it up. For example, I accidentally interrupted the power to the Raspberry Pi, which rebooted, but couldn’t talk to the module anymore. Take a deep breath, shut it all off, and wait for 5 minutes. Power back up again and you should be ok.
2 of 2 found this helpful:
and it has introduced me to the Raspberry Pi 2 which I chose to run it… after years as a dedicated Arduino fan. I was able to reverse engineer the design of the 2-element lens and choose a germanium lens to make a close-up image of a small optical element. But determining the temperature of an NIR-transmissive component in a field of gold-plated metal surfaces proved… difficult. Do not expect this device to be a non-contact temperature probe unless you are looking at real black-body surfaces. I knew just enough to think I might get away with it… but if we knew what we were doing… it wouldn’t be Science.
2 of 2 found this helpful:
Works well, does exactly what is says it will do.
I do wish someone get get a fix out there for Red X issue on inital boot.
I also wish someone made a nice form fitting plastic case for the breakout board and camera to help protect while in use.
2 of 2 found this helpful:
I used a Raspbery Pi 2, the official 7" DSI Touchschreen, a Pi camera and the FLiR sensor to assemble a thermal camera system. I used the Pi camera’s ‘raspistill’ command to overlay the real image with the FLiR sensor’s data. I installed all components into a 3D printed case and use a portable 2600mAh charger/battery pack to power the unit. Initially, the Display and Touchscreen was rotated 180 deg and I had to reinsert the FLiR module after every OS restart to make it work. The last apt-get update/upgrade fixed these problems.
3 of 4 found this helpful:
Wish I could give “four and a half” stars. Only down side on the hardware is having to use single jumpers to wire the pins from the board to the Raspberry Pi – a small, special “HAT” (Raspberry Pi parlance for what Arduino calls a shield) to allow a ribbon cable jumper going to the camera would make it less error prone. I think that the value for this is excellent. I’ve only had the opportunity to play with $5K+ thermal imagers for a couple minutes before.
On the software side, though, it has a LOT of “room for improvement” (think “gymnasium-sized room”). Had to use Google to find that I could use “scrot” to do a screen capture – seems to me that at least the ability to save the image to a file would be “basic function”. Upside is that the software is Open Source, so maybe if I can find another “round tuit” I’ll make a few improvements, and see if I can whittle a bit off the room…
All in all, I’m very excited about the gadget! It’s one of the most exciting thing I’ve gotten from Sparkfun, and I’ve bought quite a bit from SF.
1 of 2 found this helpful:
HI I’M PY2RPD WAGNER I WILL USE IT FOR SKY IMAGES I THANK YOU BY THE PRODUCT 73
The camera is very easy to interface and use.
First off for those on the fence about buying this product. I will list a few pros and cons.
Pros: 1. Small size 2. Fairly easy to hook up 3. Sample code on github
Cons: 1. The wiring calls for the board to be wired to either CE0 or CE1 on the raspberry pi. It took me a week to realize it was not necessary in my case. 2. Sample code is very basic and takes a lot of work to get it working decent. 3. Does not have radiometry read out support. Radiometry will give a temp reading of the hottest object it is pointed toward. This should be added to the pros maybe. You can make your own rudimentary radiometry feature. Get the camera capture script to work and accurately give the max pixel value. When it is doing that grab a thermometer and boil some water. As the water cools take the temp reading and capture a photo with the camera. Correlate the max temp with the actual temp. Then just create a profile in the photo capture code that will translate the hottest pixel data to an average possible temperature reading. Run the boiling water test several times from 212 F down to 32 F, this will allow you to average values and be more accurate. 3. Some times the camera or video capture will only output a red block in a corner, you have to physically pull the camera head out of the socket and plug it back in
What a fantastic little thing. Had some initial problems with a red box on the feed, but when I switched to Python on my Raspberry Pi, the problem evaporated. Temperature data came in a nice array. Next, I had some flickering in the images: The unit records ~10 images pr. sec. but can send ~26 images pr. sec. It will just resend the same image until it is ready with a new one. So when I started to discard images that were resent, this problem also disappeared. Now, it is just continuously sending me nice, sharp, fast responding thermal images.
This device performed beyond what I was expecting. I literally punished this device (vibration, heat, and other environmental factors) and it continue to function without issues. Way to go Sparkfun and FLiR
Up and running in no time - works well.
I am running this on a Raspberry Pi 2B and it was very easy to setup and get working. I followed the directions and it worked. I would suggest purchasing some ribbon cable and headers to simplify hookup.
So easy to connect and using. I’m using it for the thermal vision system on RasPi base. It needs in some improvement but only from the program side. Cool stuff!
I got this working on a Raspberry Pi 2 B and the official touchscreen with the provided sample code with next to no effort. So far I have not run into the the red square bug or any real issues other than two vertical lines on the picture on startup, but that is quickly fixed by running FFC while pointing the camera at a wall.
It feels like gaining a superpower when I can see something that used to be invisible. The examples for image capture on Raspberry Pi were straightforward and I learned a thing or two about Linux and C++ in the process (raspberry_qt from the github samples). I am delighted that the input half of my current project will be able to jump off from such a high point.
I’ve owned FLIR cameras that are based on this chip, and the chip works just as well as the cameras do. The project is not for the faint of heart, however. I’m not a complete noob to Arduino, but it took me several hours of fussing and lots of help from the Google group to get started. Kudos to PureEngineering and group members for their generous support. But now I have an Arduino Due sending images reliably to my computer (read and displayed by LabVIEW).
Works OK with Raspberry PI, good sensitivity! Problem with the socket, sometimes you have to play with it in order to make contact. At least, once it makes contact the image appears, you don’t have to restart the program.