- Live indoor tracking with a responsive interface
- ONNX-powered K-Nearest Neighbors (KNN) model for efficient on-device inference
- Wi-Fi based localization using BSSID fingerprints and RSSI signal strengths
- Custom dataset support through a dedicated dataset collection app
- Lightweight implementation optimized for mobile devices with low-latency predictions
- Flexible ONNX integration, allowing users to create and deploy their own custom models for positioning
- This release delivers accurate, cost-effective, and infrastructure-free indoor navigation using Wi-Fi signals.
capstoneWIPS/Indoor-Positioning-App
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|

