https://github.com/mgorsk1/intruder-sprinkler-app

https://github.com/mgorsk1/intruder-sprinkler-app

Last synced: 18 days ago
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• Host: GitHub
• URL: https://github.com/mgorsk1/intruder-sprinkler-app
• Owner: mgorsk1
• Created: 2023-05-25T10:18:49.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-06-02T08:52:04.000Z (over 1 year ago)
• Last Synced: 2024-10-16T04:22:36.308Z (2 months ago)
• Language: Python
• Size: 12.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Intruder Detector

This repository consist of elements that make up Intruder - an AI-powered intruder detector setting off sprinklers in your garden whenever a certain intruder (eg. cat) shows up.

## Premise

## Architecture

### Raspberry Pi

Our intruder detector is a device powered by Raspberry Pi with several integrations, namely:

* **Rasbperry Pi Camera HD tv2** - capturing images for classification

* Smart valve to turn sprinklers on/off

* Power switch to relay 12V to Smart valve

#### Prototype

### Intruder Detector - App

The app lies within `intruder_detector`. It's a fully configurable, simple process orchestrating interaction between

user, classification mechanism and sprinkler manager.

### Classifiers

Currently following classifiers are supported:

#### [GCP Cloud Vision](https://cloud.google.com/vision/docs)

GCP Cloud Vision is a product from Google Cloud Platform providing ready-to-use state-of-the-art model for image classification and object recognition.

With this product, he classification is automatic - we query model for `object detection` predictions and look for presence of intruder category in received annotations.

### Demo

Click for the youtube video:

### Contributors