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.

  • 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!

Application Fields

  • Sports
  • Medical Care and Rehabilitation
  • Manufacturing
  • Crime Prevention and Security

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

for iOS/iPadOSComing Soon

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

for iOS/iPadOSComing Soon

3D Inference

17 Keypoints
Single Camera

2D Inference

30 Keypoints
Single Camera

Platform

Unity

iOS / iPadOS

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!

771units sold Accurate as of March 22, 2024

Sales divided by industry
Sales divided by purpose of use

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