The future of motion capture is markerless
Semcam Live performs AI vision processing on the camera, then handles real-time 3D reconstruction and body rig output locally. With the HPE High-Precision Extension, it supports offline processing with keypoint error under 1 cm. It can also work with Goku optical mocap in the same coordinate system, timeline, and project.
Deployed across universities, research, robotics, culture and tourism, entertainment, and training scenarios
Semcam Live and ZVR motion capture systems are moving markerless capture from demos into professional systems that can be deployed, delivered, and operated over the long term.
Not every markerless mocap system is ready for professional workflows
Markerless motion capture is moving from content tools into life sciences, university labs, robotics training, sports rehabilitation, and large-space interaction. A usable system needs more than pose recognition: it needs stable synchronization, accurate calibration, low-latency output, reviewable data, rigid-body tracking, and deliverable interfaces.
Not Single-Video AI
Semcam Live uses synchronized multi-camera arrays to capture motion evidence from multiple viewpoints and reconstruct 3D motion in unified time and coordinates.
Not Server-Centric GPU Scaling
Each camera performs human detection, tracking, segmentation, 2D keypoints, ReID, and confidence estimation at the source. Active Center receives frame-aligned structured data.
Beyond Human Motion
Semcam Live can be mixed with Goku optical systems to simultaneously capture robots, props, tools, interactive controllers, training equipment, rackets, drones and other rigid objects.
From real-time markerless capture to high-precision hybrid mocap
For small studios, teaching demos, creative previs, and real-time capture of up to 4 people.
For life sciences, robotics, and animation/VFX, with support for the HPE High-Precision Extension.
A large-space flagship with 12-person capture and HPE support, built for multi-person data capture.
System advantages from camera to output
On-Camera Edge AI
Every Semcam Live camera includes onboard AI compute for human detection, tracking, segmentation, 2D keypoints, ReID, and confidence estimation at the source.
Structured Data Transmission
The real-time pipeline transmits frame-aligned keypoints and confidence data instead of pushing multiple raw video streams to a central server, reducing network and host-computer load.
Real-Time + HPE Dual Pipeline
120fps real-time output supports on-site preview, interaction, and driving. The HPE High-Precision Extension supports offline processing after capture, with keypoint error under 1 cm.
High-Precision Joint Calibration
Semcam Live and Goku can be jointly calibrated with optical T-bars and L-frames, reaching calibration accuracy up to 0.1mm.
True Hybrid Capture
Semcam Live captures marker-free human bodies and Goku tracks robots, props, tools, interactive controllers, training tools and other rigid objects, both sharing the same project.
Fully Local Deployment
Real-time capture, 3D reconstruction, body rig output, and HPE high-precision processing can all run locally, making the system suitable for projects with strict latency, data security, and on-site control requirements.
Motion data infrastructure built for professional scenarios
Increase the efficiency of human motion data capture in the lab
Subjects can be captured without markers or mocap suits. The real-time pipeline supports on-site preview and data checks, while HPE supports high-precision post-capture processing and can connect with OpenSim, Visual3D, C3D, mainstream force plates, EMG, and pressure-plate workflows.
Connect to your existing workflow
Active Center brings real-time capture, HPE high-precision processing, Goku rigid-body tracking, and multi-protocol output into one workflow. The system supports interfaces and workflows including ROS, C++, Python, Matlab, MuJoCo, Isaac, OpenSim, Visual3D, C3D, Unreal Engine, Unity, and Blender.
Ready to move motion capture into the edge AI era?
Tell us your venue size, capture count, application scenario, whether you need Goku, target software, and SDK requirements. The Semcam team will recommend camera configuration, deployment approach, real-time/HPE workflow, and data interface options.