Turn an old phone 📱 into something useful again using Python and OpenCV.
Pictured above is the team, captured intelligently by the app!
- Old phone (Android or IOS based)
- DroidCam or any other IP camera software
- A host machine with at least a dual-core CPU to run the application.
- A local area network (you don't even need internet access, just the router)
- A Gmail account from which you want to send emails
python -m pip install -r requirements.txtSpecific things such as the email to send info to, etc. should be specified in the root of the cloned repository, in a YAML file named config.yml. An example is shown below:
email: example@gmail.com # email that you want information sent to by the application
ip: 192.168.0.122:4747 # IP address (with port) of the IP cam instance
framerate: 10 # Framerate of the exported video
sender: examplesender@gmail.com # Email you are using to send notificationsNext, make sure you configure your gmail account from which you want to send emails. I recommend creating a throwaway account quickly to serve as your email for this project. Then, go ahead and toggle the following setting to on as seen in the attached image:
This can also be found by clicking here! Google warns there is a security risk by doing this, so make sure you have a strong password and that this account is not an important one to you.
After the above configuration has been completed, simply run in this in the root of the cloned repository.
python main.pyThis project uses openCV's Histogram of Oriented Gradients method to detect humans in its field of view. This paper goes into detail on HOG: https://lear.inrialpes.fr/people/triggs/pubs/Dalal-cvpr05.pdf