CN / EN
CMTracker
High Precision
+0.02mm repeatability accuracy
Low Latency
< 9ms latency
Easy To Operate
One-click operation
High Precision
CMTracker is born for high precision, originating from the high-precision image processing algorithm and the 10,000-parameter distortion correction algorithm of the Institute of Automation of the Chinese Academy of Sciences, which elevate the accuracy of optical motion capture to a new level.
Low Latency
The simplified motion capture process, the low-level algebraic library optimization for Intel CPU instruction sets, combined with multi-threading, elevate CMTracker's computational efficiency to a new level. It can track 480 targets in just 1.9 milliseconds.
Easy To Operate
Without the need for complex settings, CMTracker can automatically adjust various parameters based on the usage scenario, and can create rigid body or human skeleton models with a single click.
C/S architecture, allowing for more flexible deployment
CMTracker uses a C/S architecture. The Server side is installed on the motion capture server, responsible for data processing and analysis of the motion capture system.
The Client side offers you greater flexibility. It can be installed on various types of computers, providing UI interaction functionality for the motion capture system, or it can be integrated into third-party applications, forming an overall solution.
Active/Passive Light Compatible
CMTracker can simultaneously track both passive markers (such as reflective spheres, hemispheres, reflective films, etc.) and active LED markers. Passive markers are flexible and easy to use, while active LED markers have unique IDs, can be tracked over long distances, produce less noise, are capable of single-point tracking, and can be manufactured on a large scale.
Fast Calibration
As a high-precision measurement system, optical motion capture requires extremely stable equipment. Therefore, to ensure the quality of motion capture, field scanning calibration is necessary. The motion capture system from Qingtian requires fewer sample images, calculates quickly, and yields high-quality motion capture results. It can achieve fast calibration in a short time, thereby reducing the frequency of calibration and improving efficiency.
Would be "Real-time Data Intelligent Repair by Algorithm
CMTracker applies big data analysis technology, dynamically adjusting data based on the patterns of movements, other detected points, and historical data. Even when the actor is hugging, doing push-ups, or rolling, the system can still stably capture their full-body movements, ensuring the stability and fluidity of the motion capture data.
It supports multiple protocols and mainstream third-party software
CMTracker applies big data analysis technology, dynamically adjusting data based on the patterns of movements, other detected points, and historical data. Even when the actor is hugging, doing push-ups, or rolling, the system can still stably capture their full-body movements, ensuring the stability and fluidity of the motion capture data.
CHINGMU is here to support your motion capture journey. We are happy to help you find the solution you need.
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