3motionAI Platform – Human Motion Analysis and Biomechanics AI Engine
Type
Web and SDK Platform Development (Computer Vision + Machine Learning)
Industry
HealthTech / SportsTech / Biomechanics / Workplace Safety Analytics
Business Challenge
Many organizations lack accessible tools for accurate motion analysis that don’t require expensive sensors or specialized cameras. Traditional systems are often siloed — limited to laboratory settings, dependent on wearables, or incapable of processing real-world video conditions (varying angles, lighting, and occlusions).
3motionAI needed a scalable, multi-industry solution that could provide detailed motion metrics from standard video input while maintaining high accuracy, adaptability, and ease of integration across devices and applications.
Kromeon Solution
- Discovery and Planning: Analyzed use cases across healthcare, sports performance, and occupational safety to identify universal motion metrics and technical requirements for cross-platform deployment. Defined modules for protocol-based assessments (e.g., walking, lifting, jumping) and custom analytics.
- Design and Prototyping: Developed an intuitive web interface and visualization dashboard for motion playback, data overlays, and progress tracking. Designed SDK integration layers for mobile and desktop, ensuring seamless communication with the AI engine.
- Development and Integration: Engineered the 3DNeuroNet AI engine and FlashAI module to perform real-time pose estimation, joint tracking, and biomechanical event detection. Implemented scalable APIs and SDKs for developers to embed motion analysis directly into their applications.
- Data Visualization and Reporting: Built web-based dashboards for uploading and analyzing videos, reviewing metrics, and exporting detailed movement reports. Integrated user management and role-based access for enterprise clients.
- Testing and Optimization: Validated accuracy and robustness with diverse datasets from sports, clinical, and industrial environments. Optimized model performance for on-device and cloud inference.
- Deployment and Launch: Delivered cloud-hosted infrastructure with support for web, mobile SDKs, and offline edge devices. Provided continuous model updates, user training, and API support documentation.
Key Features
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AI-Powered Motion Analysis: Converts standard 2D video into 3D motion metrics — including joint tracking, velocity, angle, and gait cycle analysis.
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Cross-Platform SDKs: FlashAI SDK for integration into iOS, Android, desktop, or enterprise applications.
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Protocol and Task Modules: Built-in templates for ergonomic lifts, gait analysis, athletic movement, and physical therapy assessments.
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Real-Time and Post-Processing: Supports both live camera input and uploaded video for deferred analysis.
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Dashboard and Visualization: Interactive playback with motion overlays, heat maps, and metric trend graphs.
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Predictive Analytics: Early detection of injury risk and movement inefficiencies through AI pattern recognition.
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API and Cloud Integration: Scalable REST and GraphQL APIs for enterprise-level analytics and third-party app integration.
Technologies
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Frontend: React for web dashboard and visualization portal
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Backend: Node.js and Python for API, data management, and ML pipeline orchestration
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Machine Learning Frameworks: PyTorch and TensorFlow for 3D pose estimation and biomechanical model inference
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Database: MongoDB for motion data, video metadata, and user profiles
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Cloud: AWS for scalable GPU processing, model deployment, and secure data storage
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Integration: FlashAI SDK (mobile/desktop) and REST/GraphQL APIs
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Additional: Firebase for authentication and notification
Project Scope
Full-cycle development of AI motion analysis platform — from model architecture and SDK integration to frontend visualization and deployment across web and edge devices.
Contract Type
Fixed-Price Development Contract with milestone-based delivery for AI model phases, web integration, and SDK releases.
Duration
Multi-phase project over 24–30 months.
