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

rydercalmdown

Last update: Nov 24, 2022

Related tags

Miscellaneous package_theft_preventor

Overview

Package Theft Prevention Device

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

Installation

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

make install

Running

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

Notes

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!

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Comments

GitHub Action to lint Python code

Test results: https://github.com/cclauss/package_theft_preventor/actions

ERROR: Cannot `pip install -r src/requirements.txt` because these package versions have conflicting dependencies.

The conflict is caused by:
    The user requested numpy==1.21.0
    face-recognition 1.3.0 depends on numpy
    tensorflow 2.5.0 depends on numpy~=1.19.2

To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies

opened by cclauss 0

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

Related tags

Overview

Package Theft Prevention Device

Installation

Running

Notes

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Owner

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