Pose Estimation on GitHub

Yoga triangle pose, image shows a yogi doing a yoga pose with Artificial intelligence pose estimation overlay on mediapipe landmarks. The Landmarks are labelled for MediaPipe for Yoga

QuickPose iOS SDK

QuickPose is available on GitHub. Our SDK allows easy integration of Pose Estimation functionality into your apps.

The easy way to port MediaPipe and BlazePose into iOS.

Accurate Pose Estimation

Advanced algorithms to provide highly accurate pose estimation, ensuring that your users get the best possible experience.

Customisable Output

Allows you to tailor the output to fit your specific needs, making it easy to integrate into your existing systems and processes.

Fast Processing

Optimized for speed, so you can process camera feeds quickly and efficiently.

Scalable

Can handle a large volume of requests, so it can easily scale to meet the needs of your business

Pre Built Models

Save your time and resources, allowing you to focus on other aspects of your product development.

Open-Source Framework

Mediapipe is an open-source framework developed by Google for building cross-platform, multi-purpose machine learning solutions.

Add our SDK into your app in two ways

You can implement QuickPose yourself via our GitHub Repo or we can help you integrate it into your app. 
Image shows an athlete doing a deadlift with Pose Estimation Landmarks on her body by MediaPipe

Build yourself with our GitHub Repo

Integrate QuickPose using our GitHub Repository and our documentation.

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Add QuickPose with our Integration Team

Book a consultation to discuss your use case and capabilities. 

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How QuickPose can be used

Get Access to Our TestFlight Demo

Check out QuickPose iOS SDK abilities in our TestFlight Demo app.

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