01
Multi-agent and drone formations
Provide precise position and orientation references in one coordinate system for localization, formation control, and algorithm validation.
Optical Motion Capture System
ZVR Goku Optical Motion Capture System
ZVR Goku is built for robotics, drones, and precision motion measurement, combining high-frame-rate optical tracking, active and passive markers, and single-cable PoE deployment for stable six-degree-of-freedom data.
0.1mm
Positioning accuracy
260FPS
Maximum frame rate
<4ms
Optical-mode latency
14m
Active marker range
A camera engineered for high-speed tracking
A high-performance vision tracking SoC processes optical features at the source. PoE combines power and data on one cable for arrays ranging from laboratories to large capture spaces.
GOKU 130
ZVR Goku
Positioning accuracy0.1 mm
Maximum frame rate260 FPS
Optical-mode latency<4 ms
Active marker range14 m
1280 × 1024 resolution84° × 68°
PoEPOWER + DATA
1280 × 1024 resolution
An 84° × 68° field of view balances coverage and spatial detail.
Active and passive markers
Track passive markers up to 10 m and time-coded active markers up to 14 m.
Nanosecond synchronization
A shared time base keeps multi-camera arrays stable during high-speed 3D reconstruction.
Stable calibration tooling
The T-shaped calibration tool deforms less than 0.01 mm from -30°C to 60°C.
A complete optical workflow
Active Center brings camera management, calibration, real-time 3D reconstruction, rigid-body management, recording, playback, and data output into one workspace.
100+
Centralized Goku camera management
6DoF
Real-time rigid-body tracking
3D
Capture-volume measurement
LIVE
Real-time streaming output
RAW · BVH · C3D · FBX · OpenVR · VRPN · TCP / UDP
High-precision motion data for R&D and measurement
APPLICATIONS
02
Drone flight-control development
Quantify hovering, obstacle avoidance, attitude, landing, vibration, and control latency to validate flight-control performance.
03
Robotics and biomechanics
Track joints and end targets to measure trajectories, execution error, and dynamic performance during R&D testing.
FAQ
FAQ
ProductsIndustries
What is Semcam Live?
Semcam Live is an edge computing AI markerless motion capture system. Target detection, 2D keypoints, ReID, tracking, segmentation, cropping and confidence calculation are completed on the camera side, and Active Center locally completes cross-camera matching, triangulation, 3D keypoints, body rig solving, IK, filtering, retargeting and exporting.
Products
How is it different from typical single-video AI mocap?
Semcam Live is designed for multi-camera, simultaneous acquisition and on-site deployment, and does not rely on single video post-processing. The system uses a fixed-edge AI camera array to output frame-synchronized structured data and complete 3D reconstruction locally, making it more suitable for laboratories, robotics, virtual production, LBE and long-term training scenarios.
ProductsIndustriesWorkflow
When should I use real-time capture versus HPE?
The live link delivers 120fps motion output and sub-100ms end-to-end latency, making it suitable for live previews, live drives, interactions and acquisition inspections. HPE is a post-harvest high-precision processing pipeline suitable for research, training data production, key shots and projects requiring higher quality keypoint results.
Products
How should I choose between PRO, PRO+ and ULTRA?
PRO is suitable for real-time capture of up to 4 people, and does not support HPE and facial capture; PRO+ is suitable for professional projects that require HPE for up to 4 people; ULTRA is suitable for larger spaces and multi-person capture, supports up to 12 people, supports HPE and facial capture, and will be launched soon.
ProductsIndustriesWorkflow
Can Semcam Live be used with Goku?
Yes. Semcam Live is responsible for unmarked human motion, and Goku is responsible for rigid body objects such as robot joints, end effectors, tools, props, handles, training equipment, rackets, drones, and cameras. Both share the coordinate system, timeline, and project in Active Center.