VDCap Full Performance Capture integrates 27 key nodes throughout the body, accurate down to the finger joints, and is driven by a single click to reconstruct the performer’s movement trajectory in 3D space in real time, accurately capturing the movements of a real human actor and transforming them into a digital model in real time, synchronising them to generate a 3D computer animation.
With accurate facial expression capture algorithm, it can synchronise human facial expression to digital character in real time, the algorithm supports more than 52 expression data, real-time capture and real-time output.
What you can get from VDCap:
●A full body inertial motion capture suit: VDSuit Full (including hand&fingers capture)
●A camera-based face capture helmet: AH Helmet
●Entry-level motion capture software system: VDMocap Studio Plus
●FREE AND FAST worldwide shipping: We support shipping worldwide without shipping fee. 3-5 days for East Asia, 7-15 days for North America, Europe and Mid-Asia, 12-18 days for Latin America, Australia, Africa.
●FREE software updates
●FREE game engine and 3D softwares Plug-ins: Unity/UE4.24-5.3/IClone7-8/Blender/Maya/MotionBuilder/3DS MAX
●FREE Plugins support Steam Platform: VRChat/Warudo for Vtuber
●FREE C++SDK package
●ONE-YEAR and extend warranty time: For ALL device components
●BEST ONE-ON-ONE customer support engineers
●12 Hours quick response
●48 hours shipments after paid
Please email us for a quote. We have special offers for bulk orders, resellers, education/students, small studios etc.
VDCap Full Performance Capture kit contains full-body motion capture suit, camera-based face capture helmet and entry-level motion capture software system. It is suitable for beginners to learn the beginning of motion capture technology, the first experience of inertial motion capture technology, the posture and capture accuracy requirements are not high. Suitable for individual hobbyists, short video production, beginners.
Kit Contents | Hardware | Full body mocap suit: VDSuit Full |
Face capture helmet: AH Helmet | ||
Software | Entry-Level Motion Capture Engine: VDMocap Studio Plus | |
Accessory | User Manuals |
VDSuit Full | |
Weight of dynamic capture suit: | 500g |
Body webbing material: | Nylon fabric with adjustable elastic for all shapes and sizes |
Number of sensors: | 27,include hand&fingers sensors |
Battery type: | Lithium battery |
Operating voltage: | 5V |
Endurance: | 6h |
Transmission method: | Adaptive frequency hopping 2.4 GHz wireless |
Data Latency: | 10-20ms |
Transmission distance: | ≤40m |
Transmission frame rate: | 60Hz/72Hz/80Hz/96Hz |
Sensor core algorithm: | Independent research and development of multi-level AHRS asynchronous fusion algorithm |
Attitude capture range: | 360 ° omnidirectional motion posture output |
Sensor refresh rate: | 500Hz |
Attitude accuracy: | ROLL<0.5° PITCH<0.5 YAW<1.5° |
Angular resolution: | <0.02° |
Acceleration range: | ±160m/s2(16g) |
Gyroscope range: | ±2000dps |
Magnetometer range: | ±4.9Gs |
Factory calibration: | Self-developed 24-plane and 9-parameter multi-sensor calibration technique |
* Provide C + + SDK to support secondary development |
AH Helmet | |
Technical solution | Face capture technology |
Camera | 1080P HD RGB camera |
Shooting frame rate | 60FPS |
Connection method | Wired connection USB-A2.0 and above |
Connection length | 1.3m |
Fill light | 3200K warm white light (soft and non-invasive to the eyes) |
Size | Length 42cm, Width 24.5cm, Height 15.5cm |
Weight | 280g Ultra light for long wear |
Main materials | Polyamide (nylon) + foam lining |
Capture expressions bs number | 52 |
Support Plugins(FREE) | Unity/UE4.27/UE5/UE5.1/C++SDK |
* C + + SDK is provided to support secondary development |
VDMocap Studio Plus | |
Live Preview: | Easily realize real-time whole body posture capture, facial expression capture |
Multi-window mode: | Single-view and four-view mode |
Reset and tracking modes: | Support model origin reset and visual angle reset |
Motion capture control panel: | Adjust the action effect of the model in real time |
Calibrate system performance: | A-pose and P-pose calibration |
Model import: | fbx format models |
Gesture recognition: | 10 high-precision gesture recognition outputs |
Data recording and playback: | Support real-time action data recording and playback of recorded action data |
Output data type: | BVH , FBX, CSV |
Data optimization: | Support post-processing algorithm of recorded data |
Data stream: | MD data stream output, transmit through UDP protocol |
Plug-in support: | Unity3D、UE4-5、MotionBuilder、Blender |
Surface capture data: | ARKit BlendShape Expression Data |
Number of face capture emoticons: | 52 |
Secondary development support: | Provide C + + SDK |
● A full-body mocap suit * 1
● A camera-based face capture helmet * 1
● Entry-Level mocap software * 1 (send by email)
● User Manual * 1
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