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Jumping Jacks Counter for iOS

Jump into the future of fitness tracking with Jumping Jacks Counter for iOS. With real-time pose estimation, you can easily add AI to your existing iOS apps and create interactive user experiences. Our library of pre-built pose classifications and customizable ML solutions make it simple to incorporate the latest AI technologies into your projects.

Image shows jumping jacks counter SDK you can put into iOS apps

QuickPose iOS SDK - Jumping Jacks Counter

Our Jumping Jacks Counter for iOS provides accurate and fast results with its high-precision machine learning algorithms and optimized architecture. The SDK can detect jumping jacks up to 30 frames per second, ensuring seamless and responsive user experiences.

Human Pose Estimation for Product Managers

Product managers are constantly looking for ways to create more engaging and interactive experiences for users.

Human pose estimation offers an exciting opportunity to do just that. Here are a few of the key benefits that product managers can enjoy when they integrate QuickPose into their mobile applications:

Machine Learning Counts Jumping Jacks

pose estimation used to count jumping jack exercises

Effortlessly Integrate Pose Estimation into Your Mobile Apps

Human pose estimation is a technology that software developers can use to enhance their projects and add to their skills.

QuickPose is an easy way to integrate Machine Learning in your apps. Here are a few of the key advantages of integrating QuickPose into your iOS projects:

Leverage Computer Vision in Your Mobile Apps

QuickPose SDK Overview

The QuickPose SDK is the ideal solution for developers looking to add human pose estimation to their iOS projects. Here's an overview of what you can expect from the QuickPose SDK:

Pose estimation

QuickPose leverages advanced machine learning algorithms to accurately estimate the poses of human bodies in real-time.

Skeleton tracking

Skeleton tracking computer vision creates real time overlay of human pose estimation

Skeleton tracking

QuickPose tracks the positions of the key points on a human body and connects them to form a skeleton.

A health app displays Real-time interpretation of shoulder range of motion

Easy Integration

QuickPose's iOS SDK is designed to make the integration process as simple as possible, so developers can get started quickly and easily.

Instructions and troubleshooting can be found on our GitHub.

MediaPipe and BlazePose implementation using QuickPose SDK for iOS

System Requirements

Our Other Products:

JointTrack API

QuickPose is also available as an API. JointTrack API is available for web and mobile applications.