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Installation and Test

Requires following dependencies:

  • python3
  • OpenCV (3.1)
  • Numpy
  • TensorFlow
  • h5py (sudo apt-get install libhdf5-dev)
  • Keras (pip3 install Keras)
  • Pillow(pip3 install Pillow)
  • picamera (pip3 install "picamera[array]")

Copy directory rasp-parkDetecting into RaspberryPi. Position piCamera looking to the area to be monitored. Move directory pc-parkDetecting to PC.

Connect to it by SSH.

  • run: python3 waitCoordRASP.py on RaspberryPI
  • run: python3 selectCoordPC.py on PC
  • Select target of interest
  • press "c" key two times
  • run: python3 yoloRaspArray.py on raspberry
  • run: python3 client.py on PC

Results

Every time a change of state happens, a pic will be taken:

4.png2.png3.png1.png

Contributors

Developed by Francesco Pegoraro and Daniele Giacomelli

YOLO

Joseph Redmon. Darknet: Open Source Neural Networks in C, 2013–2016. http://pjreddie.com/darknet/.

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Park Detection System using Raspberry and YOLO

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