See the SDK + Cloud Solution in Action

Watch a short overview of how the PARADIGMA.ST Sports Tech Video Analytics SDK + Cloud can support video processing, tracking, recognition, real-time analytics, and post-production analysis.

Boost Your Product With Sports Video Analytics

The SDK + Cloud solution is designed for companies that want to add computer vision functionality to sports products faster and with less internal R&D.

It can support video-based features for tracking, recognition, analytics, statistics, coaching workflows, and custom sports data products.

Use Cases

  • Sports video analytics platforms

  • Racket sports applications

  • Broadcast and media workflows

  • Athlete feedback products

  • Betting and statistics-related products

  • Coaching and performance analysis tools

  • Team sports analytics systems

  • Training review platforms

  • Sports data dashboards

  • Custom sports tech solutions

Core Video Analytics Capabilities

  • Player and Ball Tracking

    Track players and the ball across selected sports scenarios to support analysis, statistics, and product-specific insights.

  • Field Marking and Key Point Detection

    Detect field markings, key points, zones, and geometry to help structure video data and support sports-specific analytics.

  • Jersey Number Recognition

    Recognize athlete jersey numbers and support player identification workflows where video quality and camera setup allow it.

  • Real-Time Analytics and Statistics

    Generate real-time or near-real-time statistics for supported scenarios, helping products deliver faster feedback and richer user experiences.

  • Pose and Biomechanics Analysis

    Analyze athlete posture, movement patterns, and body positioning to support coaching, performance, and technique-related features.

  • Video Processing and Camera Calibration

    Support video processing, stitching, camera calibration, capture, storage, and streaming workflows as part of a broader sports analytics system.

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Available as SDK or Cloud API

The solution can be integrated through an SDK or used via cloud-based processing with API access, depending on the product, sport, video source, and required analytics workflow.

SDK

The SDK is designed for products that need deeper integration with their own software environment and supported platforms.

SUPPORTED PLATFORMS

  • iOS
  • Android
  • Linux
  • Windows
  • NVIDIA

Cloud API

The cloud option is designed for products that prefer server-side video processing and API-based access to results.
This model can be used for uploaded videos, post-match analysis, coaching review, statistics generation, and workflows where the product does not need to process everything directly on the user’s device

Integration flow

  1. Client App / Product

    Your platform

  2. PARADIGMA.ST SDK

    or Cloud API

  3. Video Processing

    Tracking · Analytics · AI

  4. Output Data

    Coords · Stats · Events

  5. Client App UI

    Dashboard · Features

import paradigmaSDK from '@paradigma/sports-sdk';

const sdk = paradigmaSDK.init({
  apiKey: 'YOUR_API_KEY',
  sport: 'tennis',
  mode: 'realtime',
  output: ['tracking', 'pose', 'stats'],
});

sdk.onFrame((frame) => {
  const { players, ball, stats } = frame;
  // integrate into your product UI
});

Real-Time and Post-Production Modes

The solution is designed around two processing modes: fast real-time analytics for supported scenarios and deeper post-production analysis when maximum precision is required.

Real-Time Mode

Real-time mode is focused on fast analysis and immediate feedback.
It is especially relevant for supported racket sports scenarios where quick processing, live insights, and instant product response are important.

Processing speedLive
  • Instant feedback
  • Live tracking
  • Quick stats
  • Racket sports

Post-Production Mode

Post-production mode is designed for deeper analysis after the video is captured.
This mode can provide more detailed outputs, richer statistics, and higher-precision analysis, especially for workflows where results can be delivered after processing rather than instantly.

Analysis depthHigh precision
  • Instant feedback
  • Live tracking
  • Quick stats
  • Racket sports

Current Availability

The SDK + Cloud solution is currently available for selected use cases and integration discussions.

REAL-TIME

Racket Sports

Real-time video analytics capabilities are currently focused on racket sports scenarios.
This can support products that need fast feedback, movement analysis, performance-related insights, or real-time sports video processing for racket sports.

CLOUD · ~24H

Other Sports

For other sports, the current approach is based on cloud processing and post-production analysis.
Videos can be processed through the cloud, with structured results available within approximately 24 hours, depending on the video, sport, required analytics, and technical scope.

Who Can Use the SDK + Cloud Solution?

The solution is designed for product teams and companies that want to integrate sports video analytics into their own systems instead of building every computer vision component internally.

It Can Be Useful For

  • Sports tech startups

  • Established sports product companies

  • Coaching software platforms

  • Performance analytics tools

  • Sports academies and training platforms

  • Video-based sports applications

  • Sports media and broadcast technology products

  • Companies building custom sports analytics systems

How Integration Works

  1. Step 1

    Use Case Review

    We review your product, sport, video source, camera setup, required analytics, expected processing speed, and target platform.

  2. Step 2

    Technical Validation

    We define whether the current SDK + Cloud capabilities fit your use case or whether custom adaptation is needed.

  3. Step 3

    Integration Planning

    We agree on the integration model, data flow, output format, API logic, SDK usage, cloud processing requirements, and product-side implementation.

  4. Step 4

    Implementation and Testing

    PARADIGMA.ST supports integration, testing, calibration, result validation, and adaptation to your product environment.

SDK & API Documentation

Technical documentation will provide integration details for SDK setup, API access, processing modes, data formats, supported environments, and implementation examples.

  • GET /v1/session/start Initialize a new analytics session
  • POST /v1/video/upload Upload video for post-production processing
  • GET /v1/tracking/realtime WebSocket endpoint for real-time tracking
  • GET /v1/results/{session_id} Retrieve processed analytics results
  • GET /v1/sports List supported sports and analytics capabilities

What We Are Working on Next

The SDK + Cloud solution is under active development. Future versions are planned to expand sports coverage, improve analytics depth, and make integration easier for product teams.

  • Current version

    • Racket Sports Real-Time Analytics

      Real-time video analytics capabilities are currently focused on selected racket sports scenarios.

    • Cloud Processing for Other Sports

      For other sports, video can be processed through the cloud, with structured results available within approximately 24 hours.

    • SDK and Cloud API Integration

      The solution is available for selected use cases through SDK integration or cloud-based API access.

  • Next version

    • Broader Sports Coverage

      Expansion beyond the current racket sports focus into more team sports and sport-specific analytics scenarios.

    • More Real-Time Capabilities

      Wider support for real-time and near-real-time processing where video quality, camera setup, and infrastructure make it technically feasible.

    • Better Integration Tools

      Improved API structure, documentation, SDK packaging, and integration flows for product teams.

  • Future expansion

    • Deeper Statistics and Recognition

      More structured analytics for player actions, events, movement patterns, identification, performance metrics, and sport-specific insights.

    • Custom Product Adaptation

      Support for companies that need the SDK + Cloud layer adapted to a specific sport, dataset, camera setup, user workflow, or business model.

    • Advanced Product Modules

      Additional modules for coaching workflows, dashboards, automated reporting, and product-specific analytics experiences.

Product Status and Fit

The SDK + Cloud solution is available for selected use cases, technical validation, and integration opportunities.
Capabilities may vary depending on the sport, video quality, camera position, required analytics, processing mode, and product environment.
Before integration, PARADIGMA.ST reviews each use case to define what is currently supported, what may require adaptation, and what technical approach is the most realistic.

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Want to Add Video Analytics to Your Sports Tech Product?

Tell us about your product, sport, video source, and the analytics you want to add. We will help you understand whether the current SDK + Cloud capabilities fit your use case and what integration could look like.

Discuss Integration