South Korean startup Soulart has launched the Soulart Station, a markerless full-body motion tracker for VR, VTubing, and motion capture. The device uses a Time-of-Flight (ToF) sensor and an onboard Neural Processing Unit (NPU) to capture 3D point cloud data and process motion tracking on the device. By running machine learning models locally, it avoids expensive PC-side GPU computation or cloud processing, delivering 23-joint 6DoF motion data with a claimed ML latency under 10 milliseconds. Soulart Station specifications: SoC – TBD; They only mention Onboard dual-core NPU and built-in graphics processor Fully on-device processing (no PC GPU or cloud required; only motion data is transmitted for privacy) Connectivity – Wi-Fi Sensors Custom Time-of-Flight (ToF) module (940 nm IR) 4K RGB + NIR cameras Tracking Method – Markerless 3D scan + on-device ML pose (no wearables, suits, or pucks required) Point cloud – ~300,000 points (millimeter-scale) with sub-1% error Scan Rate [...]

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