An AI-powered device to stop people from stealing my packages.

To install on a raspberry pi, clone the repository and run:

make install

To run the system on the raspberry pi entirely, make sure self.server_mode is set to False in app.py, then use the following command.

make run

For more performance, you can run just the relay components on your Pi, and the inference/processing on a more powerful machine. To do this, run the following on the pi:

make server

Then set self.server_mode = True in app.py, and set the environment variable ALARM_ENDPOINT to the alarm endpoint of your raspberry pi, which will look something like:

export ALARM_ENDPOINT="http://your_pis_ip_address:8000/alarm/"

Then run the following on the more powerful system

make run

The training dir doesn't actually contain code for training the model; I used GCP's vision AutoML. That dir has code for gathering images from an RTSP cam, and putting them in the format GCP needs.

My trained model is included as a .tflite file, though it probably won't work with your front door, you're best to train your own. Good luck!