OpenHPS (Open Source Hybrid Positioning System) is a powerful framework for building positioning systems that are interoperable, scalable, and discoverable. It provides a flexible architecture for processing positioning data across multiple domains.

• 📡 Supports RF-based positioning (Wi-Fi, BLE, RFID, UWB)
• 📷 Enables computer vision-based localization
• 🧭 Integrates IMU-based navigation (sensor fusion, SLAM)
• 🌍 Handles geospatial and relative positioning

• 2D, 3D, and geographical positioning
• Extensible data processing pipeline
• Support for multiple positioning algorithms (trilateration, triangulation, fingerprinting, SLAM...)
• Modular add-ons for advanced functionality
• Open source and community-driven

• @openhps/imu - IMU sensor fusion
• @openhps/rf - RF signal processing
• @openhps/fingerprinting - Fingerprinting-based localization
• @openhps/opencv - Computer vision integration

• @openhps/mongodb - MongoDB storage
• @openhps/rdf - RDF data export
• @openhps/solid - Solid PODs for data storage

Install OpenHPS Core with:

npm install @openhps/core --save

Create a simple model:

import { ModelBuilder } from '@openhps/core';

ModelBuilder.create()
    .build().then(model => {
         // Use the model
    });

• 📘 Getting Started
• 📜 API Reference
• 🏗️ Examples

Contributions are welcome! See our contributing guidelines for more information.

OpenHPS is licensed under the Apache License 2.0. See the full license here.