schollz/find3
Find3
find3 is an indoor positioning framework that determines physical locations inside buildings by analyzing wireless signal patterns and hardware fingerprints. It functions as a machine learning location classifier that matches real-time signal data against a database of known fingerprints to identify internal positions.
The system includes a wireless signal fingerprinting tool used to scan hardware interfaces and collect signal strength data for location mapping. This data is maintained in a compressed relational signal database designed for fast retrieval of hardware addresses and signal strengths.
The framework covers a broad range of capabilities including passive signal scanning, data acquisition for fingerprinting, and the use of machine learning classifiers to estimate and determine precise indoor positions.
Features
- Signal Fingerprinting - Provides a comprehensive system for mapping unique wireless signal intensity patterns to physical coordinates to determine indoor location.
- Location Classifiers - Uses machine learning classifiers to categorize wireless signal fingerprints into specific internal physical zones.
- Indoor Positioning Systems - Estimates physical positions within buildings by analyzing wireless signal patterns using machine learning classifiers.
- Navigation Frameworks - Provides a framework for identifying user positions within a facility to enable indoor movement and discovery.
- Position Classifiers - Implements a classifier that identifies internal positions by matching real-time signal patterns against fingerprint databases.
- ML Localization - Uses machine learning classifiers to analyze wireless signal patterns and determine high-precision internal positions.
- Local Positioning Frameworks - Provides a framework for determining physical locations inside buildings by analyzing wireless signal patterns and hardware fingerprints.
- Signal-to-Coordinate Mappings - Implements a mapping system that associates physical coordinates with specific wireless signal strengths for reverse location lookup.
- Signal Databases - Organizes hardware addresses and signal strengths in a relational database for fast coordinate retrieval.
- Fingerprint Stores - Maintains a compressed relational store of hardware addresses and signal strengths for fast location lookup.
- Signal Databases - Provides a compressed relational store for maintaining hardware addresses and signal strengths for fast indoor location retrieval.
- Passive Signal Scanning - Collects wireless signal data from hardware interfaces passively to construct location-based fingerprint maps.
