Push Up Counter iOS
Push Up Counter for iOS
Push Up Counter for iOS is a simple and easy to use solution that allows you to quickly add real time pose estimation to your existing applications. It uses the latest machine learning algorithms with pre-built pose classifications. QuickPose Push Up Counter for iOS allows you to build interactive user experiences. Easily build and deploy the best push up app on the AppStore using our SDK. The QuickPose SDK is a free wrapper so you can get MediaPipe and Blazepose into your iOS app.
Push Up iOS SDK
QuickPose Push Up Counter for iOS allows you to build interactive user experiences.
Easily build and deploy a push up counter app using our SDK. The QuickPose SDK is a free wrapper so you can get MediaPipe and Blazepose into your iOS app.
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:
Fitness App Implementing Push Up Counter by QuickPose
On-device pose classifications
Get instant pose assessments overlaid onto video and photos with low latency.
Pose estimation runs at 30 FPS, offering seamless user experiences in a fitness app as they perform push ups and other exercises available in our library.
Customisable ML Solutions
Push Up Counter for iOS allows developers to customize their applications as per their needs. The SDK also includes a library of pre-built classifications, making it easy to create unique and personalized applications.
Accurate Results
The Push Up Counter for iOS SDK uses high-precision machine learning algorithms to deliver accurate results in real time.
The model is trained on a large dataset of poses, ensuring the highest possible accuracy when detecting poses in motion.
Real-Time Performance
The Push Up Counter for iOS SDK provides fast and reliable performance. It can detect poses up to 30 frames per second, allowing for smooth and uninterrupted pose detection in real time. Additionally, its architecture is optimized for low latency, making it ideal for applications that require accurate results in a short amount of time. Create immersive responsive experiences with VR overlays using efficient code.
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
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.
Our Other Products:
JointTrack API
QuickPose is also available as an API. JointTrack API is available for web and mobile applications.