PoseTracker API

About PoseTracker API

PoseTracker API is a state-of-the-art tool designed for real-time human body movement analysis, harnessing the power of artificial intelligence (AI) and computer vision to deliver cutting-edge pose estimation and motion tracking. Its core purpose is to simplify the integration of advanced pose detection technology into both mobile and web applications through a user-friendly API that requires minimal coding and configuration. One of the key features of PoseTracker is its ability to process data in real-time, offering immediate feedback and analysis. This capability is crucial for applications such as fitness training, virtual reality, and healthcare, where instant responses enhance user experience. Moreover, PoseTracker excels in on-edge processing, executing computations on the edge device, which minimizes latency and reliance on cloud connectivity. The API boasts high accuracy, thanks to machine learning models that deliver reliable pose estimation results. It is easy to integrate, with a simple API that requires minimal code, making it accessible to developers. PoseTracker is compatible across multiple platforms, including iOS, Android, and web, ensuring broad usability. It also offers scalability, accommodating increasing user volumes without compromising performance, and allows customization of tracking parameters for specific needs, such as exercise development or custom measurements. Additionally, it includes pre-trained models for common fitness exercises, an exercise repetition counter, and provides real-time analysis with recommendations. PoseTracker's diverse applications span fitness and sports, where it enhances performance by analyzing exercise form, healthcare for monitoring patient movements, and virtual reality to create more immersive experiences. It's also used in security for detecting unusual behavior, in industrial automation to ensure safety and efficiency, and in entertainment for interactive installations and experiences. Unique selling points include its ease of integration, the capability of real-time, on-edge processing, and its high accuracy and stability, all of which make it a developer-centric tool, built by developers for developers. Technically, the API employs advanced AI algorithms and the MoveNet TensorFlow model. It mainly integrates via a REST API, offering detailed documentation and tutorials. Two integration solutions are available: WebView/iframe tracking and pixel tracking, the latter being a new feature providing enhanced control over image processing. In terms of pricing, PoseTracker offers flexible plans starting with a free tier for limited API calls, as well as developer and enterprise plans with custom features. In recent developments, as of October 2024, a pixel tracking feature was introduced to offer users more control over image handling and data flow, expanding the API's flexibility. Overall, PoseTracker API stands out as a powerful tool for developers seeking to incorporate advanced motion tracking capabilities into their applications.

Key Features

• Real-time pose estimation and tracking using AI and computer vision for accurate movement analysis.
• Pre-trained models for common fitness exercises to streamline fitness app development.
• Automatic exercise repetition counter for fitness tracking and progress monitoring.
• Detailed real-time analysis including angle calculations and posture feedback for personalized exercise correction.
• Easy integration into applications via WebView or iFrame, avoiding complex SDKs.
• Cross-platform compatibility with consistent performance on iOS, Android, and web.
• Scalable solutions to accommodate large user bases without affecting performance.
• Customizable enterprise solutions that offer tailored features for specific business needs.
• Flexible architecture built on frameworks like TensorFlow, supporting model interchangeability like PoseNet and BlazePose.
• On-edge processing capability to reduce latency and improve data privacy.

FAQs