Made in JapanAI Pose Estimation Engine
Trusted by Over 400 Japanese Companies like Toyota and Honda!

About VisionPose

VisionPose is a high-precision AI pose estimation engine which detects multi-person skeletons
from camera images without the use of markers or depth sensors.
The skeletal data obtained from the analysis can be used for commercial purposes or for research and development
regardless of the application or field.

Feature

  • Detecting 30 keypoints of the human body at up to 60 FPS in real time
  • 3D inference with two cameras (Standard);
    3D inference with a single camera (Single3D)
  • No usage restrictions, including commercial use
  • Delivered as SDK, and supports development through C#/C++/Swift!
  • Trusted by over 400 Japanese companies like Toyota and Honda!
Free Demo

Product Lineup

VisionPose Standard

Standard VisionPose with accuracy and performance
3D Inference Using Dual Cameras

VisionPose Single3D

Easy Pose Estimation for Windows Unity or iOS/iPadOS
3D Inference Using a Single Camera

3D Inference

30 Keypoints
Dual Cameras

17 Keypoints
Single Camera

2D Inference

30 Keypoints
Single Camera

Platform

Windows C#
Windows C++

Linux (Ubuntu)

Jetson AGX Xavier
Jetson Xavier NX

Unity

iOS / iPadOS

VisionPose Standard

Standard VisionPose with accuracy & perfomance
3D inference using dual cameras

3D Inference

30 Keypoints
Dual Cameras

2D Inference

30 Keypoints
Single Camera

Platform

Windows C#
Windows C++

Linux (Ubuntu)

Jetson AGX Xavier
Jetson Xavier NX

VisionPose Single3D

Easy pose estimation for Unity or iOS/iPadOS
3D inference using a single camera

3D Inference

17 Keypoints
Single Camera

2D Inference

30 Keypoints
Single Camera

Platform

Unity

iOS / iPadOS

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Examples

Successfully implemented VisionPose in both major as well as small and medium-sized enterprises in the manufacturing, sports, medical and rehabilitation, retail and entertainment industries.

Trusted by over 400 companies!

946units sold Accurate as of June 28, 2024

Sales divided by industry
Sales divided by purpose of use
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