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Subsequent

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About

Subsequent is a specialized AI-driven platform that provides high-accuracy, real-time movement analytics and tracking based on standard video footage. Unlike traditional motion capture systems that require complex multi-camera infrastructures and specialized sensors, this tool leverages advanced skeletal recognition to extract precise data from simple recordings, including those taken on smartphones. The primary purpose is to democratize professional-grade motion analysis, making it accessible for applications ranging from elite sports performance to clinical rehabilitation and home fitness monitoring. The technology works by employing sophisticated computer vision models that perform individual skeletal recognition and real-time tracking. It includes a robust automatic re-identification feature, ensuring that subjects are consistently tracked even in crowded or dynamic environments. Beyond simple tracking, Subsequent offers deep data analysis capabilities such as Motion Fingerprinting and detailed gait analysis. It also provides in-video visualizations, allowing users to see data overlays directly on the source footage, which is particularly useful for coaching and diagnostic feedback. This tool is designed for a broad range of professionals across several industries. In the sports sector, it serves football clubs, tennis coaches, and winter sports associations looking to optimize athlete performance. In healthcare, clinics and research institutes utilize it for gait analysis and orthopedic diagnostics. Additionally, home fitness companies can integrate this technology to provide real-time form correction for remote users. By removing the hardware barrier, Subsequent allows these users to conduct sophisticated biomechanical assessments anywhere. What distinguishes Subsequent from many competitors is its award-winning accuracy combined with extreme hardware flexibility. Having been recognized as the Digital Start-up of the Year 2023 by the German Federal Ministry for Economic Affairs, the tool has proven its reliability in demanding professional environments. Its ability to generate high-quality movement data without a dedicated lab environment or wearable sensors makes it a highly scalable solution for organizations that need mobility and ease of use without sacrificing data integrity.

Pros & Cons

Eliminates the need for expensive multi-camera lab setups by using standard video.

Provides high-accuracy movement data suitable for clinical and professional sports use.

Supports real-time processing capabilities for immediate feedback and coaching.

Compatible with a wide range of sports including football, tennis, and skiing.

Recognized with multiple awards for innovation in AI and movement analytics.

Does not provide transparent public pricing for small individual users.

Accuracy may be dependent on the quality and frame rate of the source video provided.

Limited documentation is available online regarding specific API integration steps.

Use Cases

Professional football coaches can analyze player positioning and movement patterns during training using simple sideline video recordings.

Physical therapists in clinics can conduct detailed gait analysis for patients without needing a specialized motion capture lab or sensors.

Home fitness app developers can integrate the AI to provide users with real-time feedback on their exercise form using a phone camera.

Skateboarding or tennis instructors can use in-video visualizations to show students precise biomechanical adjustments needed for specific maneuvers.

Research institutes can collect movement data in natural environments rather than being restricted to a lab setting.

Platform
Web
Task
motion analysis

Features

real-time tracking

motion fingerprinting

automatic re-identification

smartphone recording support

gait analysis

in-video visualization

detailed movement analysis

individual skeletal recognition

FAQs

Does Subsequent require specialized camera hardware?

No, the system is designed to work with simple video recordings, including those captured via standard smartphones. This eliminates the need for expensive multi-camera infrastructures or wearable sensors typically required for motion capture.

What kind of movement analysis is possible?

The tool provides comprehensive analytics including skeletal recognition, real-time tracking, and Motion Fingerprinting. It is commonly used for sports-specific tactics, clinical gait analysis, and individual performance monitoring in fitness.

Can the software track multiple people at once?

Yes, the platform features automatic re-identification technology. This allows the AI to distinguish and track individuals consistently even when they move in and out of the frame or cross paths in crowded environments like football pitches.

Which industries currently use this technology?

Subsequent is utilized by professional sports clubs, national football associations, medical clinics, and research institutes. It is also applicable to the home fitness industry for providing remote users with real-time form tracking.

Pricing Plans

Enterprise / Custom
Unknown Price

Individual skeletal recognition

Real-time tracking

Automatic re-identification

Motion fingerprinting

In-video visualizations

Custom movement analysis

Smartphone recording compatibility

Job Opportunities

There are currently no job postings for this AI tool.

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Ratings & Reviews

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