2D / 3D Skeleton Tracking Software "Skeleton Tracking SDK License"

2D / 3D skeleton tracking software on Unipos websiteSkeleton Tracking SDK License"Added.

Skeleton Tracking SDK is software designed to provide deep learning based 2D / 3D skeleton tracking capabilities to applications for embedded hardware. The feature is that 30D / 2D skeleton tracking can be integrated in about 3 minutes, which can be useful for action determination.

It's very convenient because it's accessible through a variety of programming interfaces and you can use both low-level APIs (application programming interfaces) and application-specific APIs. Currently C, C ++, C #, Python and Unity are supported. Please note that the SDK is compatible with Intel Realsense technology. D400 series please use this form.Please refer to.

*Added in November 2022:
This product is scheduled to be discontinued and will be available until the end of March 2023.
As a result, support from the manufacturer has ended.Thank you for your understanding.

As an alternative, compatible with Intel RealSense Depth Camera D415, D435, D435i, D455,of LIPSFull-body skeletal tracking software "LIPSense 3D Body Pose SDK'We are introducing.Please check the specifications.

About Skeleton Tracking SDK (by Cubemos)

■ Skeleton Tracking SDK

A cross-platform interface (C / C ++ / C #, Python) and Unity wrapper for Realsense are provided.
You can also use the C-API to develop custom wrappers.
The API can implement skeleton tracking with a code of less than 10 digits.
Deep learning-based 2D / 3D whole body skeletal tracking The tracking function can be easily started in just 30 minutes.

Major features:

· Runs on Windows and Linux using C, C ++, C #, Python, Unity.
-The most accurate simultaneous skeleton tracking can be implemented by up to 5 people and the target range whole body (18 joints).
・ No dedicated GPU is required.
・ For real type applications of edge AI devices.

detail of function:

– Ready for C, C ++, C #, Python or Unity application development
– Sample application code included
– Real-time on embedded and cost friendly hardware
– No dedicated GPU needed to run deep learning model behind
– Convenient deployment with the same license code for all your devices
– Automatic license activation for your users and your headless devices

System requirements:

For Windows based operating systems:
Windows 10, C ++, C #, Python, Unity

For Unix based operating systems:
Ubuntu, Other Debian based system are possible (untested), C ++, Python

Hardware:
– Platform: x64
– Intel Core and Xeon Processors (6-10th)
– GPUs: Intel Iris Pro, Intel HD Graphics 520, 530, 630