Demo

Version 0.3: ResNet-10 Facial Detection + FLIR Lepton 3.5 temp. measurement (~17 FPS w/ GPU accel.)

Video coming soon!

Version 0.2: Haar Cascade + FLIR Lepton 3.5 temp. measurement (~10FPS, CPU only)

Watch full video: https://www.youtube.com/watch?v=j9eo9Cs8J8I

Version 0.1: SSD (COCO) + FLIR Lepton 3.5 temp. measurement (~12FPS w/ GPU accel.)

Watch full video: https://www.youtube.com/watch?v=i2XMtshdjn8

Installation

Make sure you have the newest Nvidia JetPack to avoid issues.

Update package manager

sudo apt update && sudo apt upgrade

You will need OpenCV 4.4+ for CUDA DNN support. Install it with this script:

wget https://raw.githubusercontent.com/mdegans/nano_build_opencv/master/build_opencv.sh
./build_opencv.sh

Download AI Thermometer

git clone https://github.com/tomek-l/ai-thermometer
cd ai-thermometer

Run AI Thermometer

export DISPLAY=:0 # (if accessing via ssh). It might also be DISPLAY=:1
python3 main.py

Possible issues:

Make sure your user has r/w access to the camera device.

For a quick and dirty solution do:

echo 'SUBSYSTEM=="usb",  ENV{DEVTYPE}=="usb_device", GROUP="plugdev", MODE="0664"' | sudo tee /etc/udev/rules.d/10-libuvc.rules 
sudo udevadm trigger

(this gives camera access to all users)

For a better, fine-grained permission setup, create a new group, give permissions to that group only and your user to the newly created group. You can read more here.

The provided `libuvc.so` is compiled for AArch64.

It is a custom version of libuvc that supports Y16 video format. If you're using different architecture, you will need to build the library from source:

git clone https://github.com/groupgets/libuvc
cd libuvc
mkdir build
cd build
cmake ..
make
cp libuvc.so ~/ai-thermometer/ir/libuvc_wrapper

jimroyfr/ai-thermometer