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Tensorflow-custom-object-detection-with-ip-camera

The project developed using TensorFlow object detection api to detect unauthorized objects(in this case mobiles) indoors using security cameras/ ip camera/ CCTV cameras... It works in both normal mode & in night vision mode.

A faster R-CNN pretrained model was used with custom dataset to train the detection model "rnn".

Python multi-threading library was used to optimize the rstp stream from the ip camera. A HIK Vision ip camera was used.

Installation guides

  • Use anaconda.

  • install tensorflow using : conda install tensorflow-gpu

  • It will take care of all the necessary drivers to run tensorflow-gpu ...

  • clone this repository.

  • install dependencies of tensorflow. follow this guide : TF_INstall

  • go to Tensorflow-custom-object-detection-with-ip-camera\research & run:
    protoc object_detection/protos/*.proto --python_out=.

  • then run: python setup.py build

  • & then : python setup.py install

  • object detection module will be ready to be deployed.

you need to install opencv & imutils library too
pip install imutils
pip install opencv-contrib-python

go to: Tensorflow-custom-object-detection-with-ip-camera\research\object_detection
open ip_camera.py & edit it to give your own ipcamera's rstp address.

run : python od_ip.py
you should be good to go.

Application

  • Piracy prevention in cinema halls.
  • Places where recording devices(mobile) are not allowed.

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