Cat-Localizer

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cat-localizer is an open-source Wellness & Lifestyle tool that enables localization of cats at home using BLE beacons, ESP32s, and Machine Learning. It provides a framework for DIY enthusiasts to build and customize their own pet tracking system.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is cat-localizer?

cat-localizer is an open-source project designed to help you localize your cat (or any pet/object) within your home using Bluetooth Low Energy (BLE) beacons, ESP32 microcontrollers, and Machine Learning. The system involves attaching a small BLE beacon to your cat, which emits signals detected by strategically placed ESP32 detectors. These detectors measure signal strength and send data to a server. A Python program then uses trained machine learning models to predict the cat's location. This project serves as a flexible framework, allowing users to customize the hardware setup and ML models to suit their specific home environment and pet tracking needs. It's ideal for those comfortable with DIY electronics and programming.

Best used for

Ideal for data scientists and DIY enthusiasts who need to build a custom indoor localization system for their pets or objects, collect signal strength data, and train machine learning models for location prediction. Especially valuable for those looking for an open-source framework to adapt to their unique home environment.

Common actions

localize pets

track indoor location

implement machine learning

build DIY electronics

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Capabilities

Key features

BLE beacon localization
ESP32 detector integration
Machine Learning prediction
Customizable framework
Data collection for ML
Python environment setup

Target Audience

data scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What hardware is required to set up cat-localizer?

You will need a BLE beacon for your cat, several ESP32 microcontrollers to act as detectors, and a server (like a Raspberry Pi or a standard computer) to process data and run the machine learning models. WiFi connectivity is also essential for the ESP32s to communicate with the server.

Is cat-localizer a ready-to-use solution, or does it require customization?

cat-localizer is presented as a framework rather than a plug-and-play solution. Due to variations in house layouts, sizes, and hardware setups, users are expected to customize the provided code and train their own machine learning models based on data collected from their specific environment.

How does the machine learning component work in cat-localizer?

The system collects signal strength data from ESP32 detectors at various known locations of the BLE beacon. This data is used to train machine learning models (e.g., MLP Classifier) to associate specific signal patterns with different rooms or areas, enabling the prediction of the cat's real-time location.

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Data & Analytics › Predictive Analytics

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