WesleyCh3n / NTU-IoT-Thermal

NTU BBALB dairy cow monitoring project. Dairy cow eye temperature monitoring.

NTU-IoT-Thermal

This is NTU BME MS thesis project which using Pi Camera and FLIR Lepton 3.5 capture RGB and thermal image. Then post-processing both image to get the cow eyes temperature.

Screenshot

Required Package

• opencv-contrib-python

  sudo apt install libaec0 libaom0 libatk-bridge2.0-0 libatk1.0-0 libatlas3-base libatspi2.0-0 libavcodec58 libavformat58 libavutil56 libbluray2 libcairo-gobject2 libcairo2 libchromaprint1 libcodec2-0.8.1 libcroco3 libdatrie1 libdrm2 libepoxy0 libfontconfig1 libgdk-pixbuf2.0-0 libgfortran5 libgme0 libgraphite2-3 libgsm1 libgtk-3-0 libharfbuzz0b libhdf5-103 libilmbase23 libjbig0 libmp3lame0 libmpg123-0 libogg0 libopenexr23 libopenjp2-7 libopenmpt0 libopus0 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpixman-1-0 librsvg2-2 libshine3 libsnappy1v5 libsoxr0 libspeex1 libssh-gcrypt-4 libswresample3 libswscale5 libsz2 libthai0 libtheora0 libtiff5 libtwolame0 libva-drm2 libva-x11-2 libva2 libvdpau1 libvorbis0a libvorbisenc2 libvorbisfile3 libvpx5 libwavpack1 libwayland-client0 libwayland-cursor0 libwayland-egl1 libwebp6 libwebpmux3 libx264-155 libx265-165 libxcb-render0 libxcb-shm0 libxcomposite1 libxcursor1 libxdamage1 libxfixes3 libxi6 libxinerama1 libxkbcommon0 libxrandr2 libxrender1 libxvidcore4 libzvbi0
  pip3 install opencv-contrib-python

• libusb

  sudo apt-get install cmake libusb-1.0-0-dev -y
  git clone https://github.com/groupgets/libuvc
  cd libuvc 
  mkdir build && cd build
  cmake ..
  make && sudo make install
  sudo ldconfig -v
  sudo sh -c "echo 'SUBSYSTEMS==\"usb\", ATTRS{idVendor}==\"1e4e\", ATTRS{idProduct}==\"0100\", SYMLINK+=\"pt1\", GROUP=\"usb\", MODE=\"666\"' > /etc/udev/rules.d/99-pt1.rules"

Usage

Capture RGB Image

python3 pi_cam.py [-h] [-s] [-v]

Args	Info
-s	save image per second in rgb_img/%Y_%m_%d/ for 5:10 mins
-v	show image in windows
-h	print help message

Capture Thermal data

python3 pi_uvc_flir.py [-h] [-s] [-v]

Args	Info
-s	save thermal data in IR_HDF5_*.HDF5 (9 fps) for 5 mins
-v	show thermal image in windows
-h	print help message

Backup data

./rsync_data.sh

(Optional) Add to crontab

crontab -e

Then add something like below, you can choose whatever time you want.

30 11 * * * cd /path/to/code_dir/ && python3 pi_cam.py -s
30 11 * * * cd /path/to/code_dir/ && python3 pi_uvc_flir.py -s
40 11 * * * cd /path/to/code_dir/ && ./rsync_data.sh