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QuaterNet changes how we teach the model to predict motion. Instead of measuring whether the machine’s internal joint settings match a target, it measures whether hands, feet, head — the things users care about — land where they should. The outcome is a noticeably better short-term predictions and long-range motion that people judge as just as natural as the latest neural approaches.
Why Hardware Tracking Fails in Real Logistics & What Business Impact to Expect Real-world warehouses break sensors. Lighting shifts, occlusions, fast motion, and sensor noise degrade tracking accuracy, causing missed scans, wrong pallet-person links, and false dock assignments. These technical failures translate directly to operational disruptions: billing disputes, SLA violations, and lost inventory visibility. "Single-modality tracking is brittle: it fails silently in the messiest parts of your network—exactly where you need the most certainty."
Imagine never getting lost inside a building again. NILoc (Neural Inertial Localization) brings precise indoor positioning to your smartphone using only its built-in motion sensors with no additional hardware, no privacy concerns, and no battery drain.
Building a next-generation infrastructure location tracking using WiFi, IMU, and Blueprint uploads.
GPS is not about finding directions but critical infrastructure your entire logistics operation depends on. When it fails, you fail.
RoNIN uses smartphone IMU sensors to track human movement accurately indoors, underground & in other GPS-denied locations.
