About
Fujitsu's Judging Support System is an enterprise-grade AI solution that brings cutting-edge technology to competitive sports officiating. Using a combination of high-speed 3D sensing cameras, skeletal tracking, and AI-driven analysis, the system captures every nuance of an athlete's performance — from body posture and joint angles to velocity and timing — and converts it into structured, quantifiable data in real time. Originally developed in collaboration with the International Gymnastics Federation (FIG), the system has been piloted and deployed at major international competitions to assist judges in disciplines such as artistic gymnastics, where precision and objectivity are critical. By providing supporting data alongside human judgment, it reduces subjectivity, increases transparency, and can help deter potential scoring controversies. The platform integrates seamlessly into existing competition management workflows, offering dashboards for judges and officials that surface key metrics at a glance. Fujitsu's AI models are trained on vast libraries of athletic movement data, enabling reliable interpretation across different body types, skill levels, and performance conditions. Beyond gymnastics, the architecture is adaptable to other judged sports including diving, figure skating, and martial arts. Fujitsu positions this as part of its broader Uvance sustainability and societal innovation portfolio, reflecting its mission to build trust in society through technology. The system is suited for international sports federations, national Olympic committees, competition venues, and broadcast organizations seeking enhanced officiating credibility and fan engagement.
Key Features
- 3D Skeletal Sensing: Captures athletes' full body movements using high-speed 3D cameras that map joint positions and body angles with millimeter-level precision.
- Real-Time AI Analysis: Processes motion data instantly during live competition, delivering structured performance metrics to judges' dashboards within seconds.
- Objective Scoring Data: Generates quantifiable data points — such as rotation angles, height, and timing — to supplement and validate human judges' assessments.
- Multi-Sport Adaptability: Built on a flexible AI architecture that can be configured for gymnastics, diving, figure skating, martial arts, and other judged disciplines.
- Seamless Competition Integration: Integrates with existing competition management and broadcast systems, supporting officials and enhancing viewer transparency.
Use Cases
- Assisting gymnastics judges at international competitions with objective 3D motion analysis to support fair and transparent scoring.
- Providing national Olympic committees with data infrastructure to review and validate judging decisions during major championships.
- Enhancing broadcast productions by supplying real-time performance metrics and visualizations that explain scoring to television audiences.
- Supporting athlete training programs by giving coaches and athletes precise biomechanical feedback derived from the same AI system used in competition.
- Enabling sports federations to build public confidence in officiating integrity by making data-backed judging metrics available for review.
Pros
- Reduces Judging Subjectivity: Provides objective, measurable data that supports fairer decisions and reduces the risk of scoring controversies in high-stakes competitions.
- Real-Time Decision Support: Delivers analysis instantly during live events, allowing judges to review supporting data without disrupting competition flow.
- Backed by Enterprise-Grade Fujitsu Infrastructure: Built on Fujitsu's proven AI and sensing platform, ensuring reliability, scalability, and support for international-level deployments.
- Increases Transparency and Fan Trust: Data-backed judging decisions can be shared with audiences and athletes, boosting confidence in officiating outcomes.
Cons
- Enterprise Pricing with No Public Tiers: The system is a bespoke enterprise solution with no self-serve pricing, making it inaccessible for smaller organizations or grassroots sports bodies.
- Complex Setup and Infrastructure Requirements: Deployment requires specialized 3D camera hardware, network infrastructure, and integration work, which can be demanding for venues with limited resources.
- Human Judgment Remains Final: The system is a support tool, not an autonomous judge, so its value depends on how well officiating bodies integrate its data into their existing workflows.
Frequently Asked Questions
What sports does the Fujitsu Judging Support System support?
The system was initially developed for artistic gymnastics in partnership with the International Gymnastics Federation (FIG), but its AI and 3D sensing architecture can be adapted for other judged sports such as diving, figure skating, and martial arts.
Does the system replace human judges?
No. The Judging Support System is designed to assist, not replace, human judges. It provides objective, data-driven metrics that officials can use as supplementary information when scoring athletes' performances.
How does the 3D sensing technology work?
The system uses an array of high-speed cameras combined with AI to track an athlete's skeleton in three dimensions, measuring joint angles, body positions, rotation, height, and timing in real time during a performance.
Is the system available for smaller competitions or clubs?
Currently, the Judging Support System is positioned as an enterprise solution for international sports federations, national committees, and major competition venues. It is not available as a self-serve or consumer product.
How does Fujitsu ensure the AI analysis is accurate?
Fujitsu trains its AI models on extensive libraries of athletic movement data and continuously refines them in collaboration with sports governing bodies, ensuring the system can reliably interpret diverse performance styles and conditions.
