FanFever360AI
Internal volumetric capture · Patent-protected

View from inside the play.

FanFever360 is the first wearable multi-camera platform that synthesizes broadcast-quality volumetric views from inside the play. The catcher's mitt. The QB's release. The referee's exact sightline. The same wearables that power fan POV switching produce coaching-grade ghost artifacts — game film no external sensor can ever capture.

Member tier on FanFever360 included with every Klout Klube membership
8K
Wearable
Multi-Camera
< 1s
Sub-Second
POV Switching
42+
Patent Filings
JunkDNA AI Stack
14
Functional Modules
JDNA-FF360AI
Beyond the sidelines

External captures the venue.
We capture the participant.

Existing volumetric platforms reconstruct the field from fixed venue sensors — wide-area capture, free-roaming broadcast cameras anywhere outside the action. They cannot generate viewpoints from inside a participant's body geometry. That's not a sensor-density problem. That's a physics problem. FanFever360 solves it from the other direction: wearable multi-camera arrays plus Visual SLAM. The coach steps into the QB's helmet. The fan sees from inside the catcher's mitt. Same technology. Different audiences.

EXTERNAL CAPTURE Cannot view from inside body geometry + + INTERNAL CAPTURE Views from inside the play, unlocked
External · Fixed venue sensors

What venue arrays do brilliantly

Multi-camera reconstruction of the entire field of play. Wide-area volumetric. Free-roaming broadcast cameras anywhere outside the action. The view from the upper deck, only better.

  • Cannot generate views from inside the catcher's mitt
  • Cannot generate the QB's exact release-point perspective
  • Cannot capture the referee's sightline at the disputed call
  • Cannot reach what the participant's body geometry blocks
Internal · Wearable + Visual SLAM

What FanFever360 unlocks

Wearable multi-camera arrays in referee garments, helmets, headbands, player vests, and umpire equipment generate a Visual SLAM map from inside the participant's perspective — synthesizing an "internal volumetric camera" within the SLAM-mapped volume.

  • View from inside the catcher's mitt at point of contact
  • The QB's exact eye-line at release
  • The referee's perspective at the moment of the call
  • Any point within the participant's SLAM-mapped volume
And here's the strategic part: the internal SLAM map can be fused with any external venue sensor array to produce composite volumetric output with superior angular coverage and first-person perspectives that neither system achieves alone. Per JDNA-FF360AI, the architectures are additive — internal and external capture are complementary technologies, not competing ones.
The invention spine

Two technical centers.
One non-separable architecture.

The patent is organized around two primary technical centers that anchor every claim. All other modules — synchronization, ZK licensing, fractional royalty settlement, federated learning, post-quantum watermarking — are stacked moats built on these two foundations.

— Technical Center 01 —

Moving wearable capture with internal volumetric reconstruction

The combination of: a moving wearable multi-camera array embedded in participant garments and helmets; IMU-adaptive federated stitching that dynamically reconfigures optical parameters based on instantaneous sprint velocity and biometric stress; and a Visual SLAM subsystem generating a spatial map from the moving array.

The synthesized internal volumetric camera produces viewpoints physically inaccessible to any external venue sensor array, regardless of external sensor density. All capture, synchronization, and thermal shielding subsystems exist in service of enabling this center.

"Static multi-camera rigs require no motion compensation, no IMU-guided pose estimation, no rolling-shutter correction under sprint dynamics. Each represents a separate technical problem requiring specific inventive solutions." — JDNA-FF360AI Background
— Technical Center 02 —

Non-separable ghost artifact architecture with counterfactual decision analytics

The Decision Analytics Engine performs real-time fusion of 8K video streams, 6-DOF IMU pose data, and physiological stress markers (HR, HRV, GSR, respiration) at sub-second cadence — a computation mathematically impossible for unaided human cognition — generating ghost artifacts encoding counterfactual trajectory rollouts with opponent-response prediction.

Fan-facing ghost replays are technically sanitized subsets of the coaching-grade ghost artifact — sharing an underlying data structure. The fan entertainment product cannot be replicated without implementing the underlying coaching simulation. The non-separability is the moat.

"Satisfies the USPTO 'Step 2A' threshold for a technically grounded improvement over human mental processes." — JDNA-FF360AI Background
The platform

Fourteen modules.
One integrated system.

Each module is independently claimed in JDNA-FF360AI. Together they constitute a fundamentally new class of participant-perspective capture and decision analytics infrastructure — with licensing, settlement, and compliance technically integrated, not bolted on.

— Module 01 —

Multi-Camera Wearable & Venue Capture

Wearable arrays in referee garments, helmets, headbands, player vests, and umpire chest protectors. Thermally shielded for sustained operation at 40°C+ ambient. Synchronized with venue cameras at sub-millisecond frame alignment.

— Module 02 —

Heterogeneous Source Time Sync

Two-stage alignment: PTP/GPS coarse sync, then cross-modal fine alignment via whistle peaks, ball impacts, scoreboard flashes. Operates through cellular-to-satellite handover.

— Module 03 —

IMU-Adaptive Federated Stitching

Stitching parameters dynamically reconfigure based on participant sprint velocity and biometric stress. Above 20 km/h, forward-facing parallax is prioritized for ghost replay depth recovery.

— Module 04 —

Visual SLAM & Internal Volumetric

The moving wearable array generates a SLAM map from the participant's perspective. Synthesizes a free-roaming internal camera from within body geometry positions inaccessible to external sensors.

— Module 05 —

Multi-Modal AI Event Detection

Multi-modal inference detects fouls, offsides, penalties, scoring events, and hand-placement events at ~95% accuracy. AR overlays delivered to referee displays in <1s from event detection.

— Module 06 —

Decision Analytics & Ghost Artifacts

The DAE generates counterfactual ghost artifacts with opponent-response prediction and biometric-contextual cognitive load weighting — distinguishing a poor decision from one constrained by physiological stress.

— Module 07 —

Fan Application

Real-time POV switching across wearable and venue streams. Synchronized shared watch sessions. AI-curated highlights, ghost replay selection, leaderboards, contextual commerce, UGC export.

— Module 08 —

ZK-Gated Tokenized Licensing

Stream delivery conditional on a zero-knowledge proof from the fan's Agent Identity Card (JDNA-2). Enforces age, jurisdiction, and consent without creating a central PII database. Compliant with U.S. state BIPA laws, GDPR, and emerging biometric regulations across jurisdictions.

— Module 09 —

Sub-Second Royalty Settlement

Each POV switch triggers an X23X token attribution computation routed via JunkDNA FedStack — distributing fractional royalties to athlete, garment manufacturer, association, team, venue, league, broadcaster, platform.

— Module 10 —

License-Embedded UGC Export

Exported fan clips embed license-bound metadata in the media container — file header, container, manifest, sidecar — encoding usage scope and settlement pointer for downstream rights validation.

— Module 11 —

Compliance Delay & ZK Redaction

5–10 second buffer applies jurisdictional redaction (face blurring, jersey masking, geofencing). Streams release only after redaction complete AND ZK proof verified — dual technical condition.

— Module 12 —

Post-Quantum Forensic Watermarking

Watermarks bound to seat-license identifiers using post-quantum primitives. Leaked stream traceable to specific license in <1s. Pirated content carries cryptographic origin all the way.

— Module 13 —

Federated AI Training Pipeline

Venue nodes compute local model updates with differential privacy and secure aggregation — never transmitting raw data. Trained models power officiating AI, ghost coaching, foundation models.

— Module 14 —

Dual Commercial Moat

Capture & AI moat (wearable hardware, internal SLAM, IMU-adaptive stitching, ghost coaching) plus licensing & monetization moat (ZK gating, FedStack settlement, contextual commerce). Built on JDNA Core Portfolio.

The capture layer

Five wearable form factors.
Every position. Every sport.

Each wearable embeds a multi-camera array, on-body aggregation pod with GPU/CPU/FPGA processors, hot-swappable batteries, and a wireless uplink. Thermally shielded for high-frame-rate operation at 40°C+ — engineered for everything from August NFL training camps to mid-summer outdoor stadium deployments anywhere in the world.

Referee Shirt

4–6 Cameras

Chest, both shoulders, collar, optionally back. Hip aggregation pod. Soccer, basketball, football, rugby.

Referee Helmet

6–8 Cameras

Visor, top, sides, rear, optional chin. Helmet-pod compute. American football, hockey.

Headband

4–6 Cameras

Sweat-resistant washable headband with thermal mini-pod. Built for hot-climate deployments — outdoor training camps, summer stadiums, sustained high-temperature use.

Player Vest

2–4 Cameras

Athlete first-person capture during training and live play. Generates the ghost coaching dataset.

Umpire Protector

4–6 Cameras

Directed at strike zone, field, target area. Baseball, cricket — every pitch from inside the protector.

For coaches & training facilities

Step inside the play.
Not just review it.

Coaches still review games on 2D film and sideline footage — perspectives that miss the moments that matter most. The QB's eye-line at the missed read. The receiver's view of the safety. The defender's pursuit angle. The same wearables that produce broadcast POV switches produce coaching-grade ghost artifacts. Same data structure. Different render path. Insights are no longer a separate product — they're the system the team is already wearing.

SAME PLAY · FOUR PERSPECTIVES · 0:14.32 REC QB POV CAM 01 · HELMET 00:14.32 SAFETY · CLOSING REC Receiver POV CAM 02 · CHEST 00:14.32 22.4 km/h REC Linebacker POV CAM 03 · SHOULDER 00:14.32 — TRADITIONAL — What coaches currently have REC Sideline (Broadcast) CAM 04 · FIXED 00:14.32 Three internal POVs unlock perspectives the sideline cam never sees.

Multi-POV game film

Review any moment from any participant's perspective. The QB's exact eye-line at the missed read. The receiver's view of the safety closing. The linebacker's pursuit angle on the breakaway. Synchronized to the same play, switchable in a tap.

Ghost coaching

The Decision Analytics Engine generates counterfactual replays — what would have happened with a different decision, weighted by the player's actual biometric stress at the moment. Distinguish a poor decision from one constrained by physiological load.

Federated training, private data

Local model training on team data with differential privacy and secure aggregation (JDNA-12). Insights stay yours. The platform never sees raw video, never aggregates competitive intelligence across teams, never trains a model on your playbook without explicit consent.

The coach watches the play from inside the helmet — not from the press box, not from the sideline, not from a drone. The technology that lets a fan switch POVs lets the coaching staff step into a missed read and walk through what happened, frame by frame, perspective by perspective.

Sub-second fractional settlement · FedStack

POV switches at fan-scale frequency.
Royalties at machine speed.

When millions of concurrent fans switch POVs every second, manual royalty reconciliation breaks. FanFever360 routes X23X settlement tokens via the JunkDNA FedStack within sub-second windows — and each switch changes the rights-holder composition because the outgoing wearable's manufacturer differs from the incoming one's.

One POV switch event
eight rights-holders settled

In less than one second. Auditable by league compliance officers in near real time. PTCF (JDNA-18) enforces smart contract compliance on each settlement event.

Trigger Event
POV Switch
t = 0.000s
Athlete
Garment Mfr.
Player Assoc.
Team
Venue
League
Broadcaster
Platform
Built on JunkDNA AI

The patent portfolio competitors must re-invent.

FanFever360 (docket: JDNA-FF360AI) builds on the JunkDNA AI Core Portfolio — 42+ patent filings covering identity verification, ZK proofs, federated learning, royalty settlement, and post-quantum cryptography. Even if a competitor builds the wearable hardware, they would still need to engage a separate patent family to replicate the rights and identity layer.

JDNA-2 Agent ID JDNA-4 ZK Proofs JDNA-17 FedStack JDNA-18 PTCF JDNA-12 Federated JDNA-14 Consent FanFever 360AI JDNA-FF360AI

Six core primitives. One integrated system.

FanFever360 doesn't just use these primitives — every module is technically inseparable from them. The Rights and Identity Layer spans every other layer, ensuring no data, stream, or derived output can be accessed without traversing the rights infrastructure.

  • 02

    Agent Identity Card (JDNA-2)

    The fan credential that anchors ZK-gated stream delivery — the same primitive used across every JunkDNA AI vertical.

  • 04

    ZK Credential Update Framework (JDNA-4)

    Generates the zero-knowledge proofs that gate stream delivery — and binds the post-quantum forensic watermarks.

  • 12

    Federated Learning with Anomaly Detection (JDNA-12)

    The federated learning architecture that trains officiating AI and ghost coaching models without uploading raw venue data.

  • 14

    Dynamic Consent Ledger (JDNA-14)

    Real-time biometric and fan consent management with audit-grade logging — required for HIPAA-adjacent athlete data protections.

  • 17

    FedStack Economic Orchestration (JDNA-17)

    The sub-second X23X token routing layer that executes royalty settlement on every POV switch event.

  • 18

    Programmable Trust & Compliance Fabric (JDNA-18)

    Smart contract enforcement for each settlement — making the commercial model technically inseparable from platform operation.

JDNA-FF360AI · Provisional filed U.S. Non-Provisional 19/647,711 PCT/US26/23713 42+ patent filings
The roadmap

U.S. first.
Europe and beyond next.

Phase 1 lands U.S. coaching facilities and broadcasting partnerships — the deepest sports-tech investor environment, the leagues most willing to experiment with immersive technology, and the largest near-term market for NIL settlement infrastructure. Phase 2 expands into Europe alongside the existing GDPR-compliant identity stack. Phase 3 reaches the GCC and global cinema "fan arenas" — driven by demand, not chronology.

01
— Phase 1 · U.S. Pilot

Coaching + broadcasting

College football coaching facilities (programs invest $5–15M/yr in performance technology), NFL/NBA/MLS broadcasting partnerships, NCAA NIL settlement infrastructure. The U.S. is where the patent's commercial moat compounds fastest — sports-tech VC, experimentation-friendly leagues, and a clear regulatory environment for athlete biometric data.

02
— Phase 2 · Europe

League SaaS expansion

Premier League, La Liga, Bundesliga partnerships. UEFA Champions League pilots. The same identity stack already compliant with GDPR, ensuring continuous deployment under EU AI Act constraints. Tokenized ticketing & sub-second royalty settlement at scale across multi-jurisdictional rights holders.

03
— Phase 3 · GCC + Global

Demand-driven expansion

Saudi Pro League, UAE Pro League, Qatar Stars League where year-round football demand and 90%+ mobile penetration support immersive deployment. Cinema "fan arenas" globally for the high-density immersive viewing layer — only when commercial demand and partnership LOIs justify the build.

Pricing

Coming soon.
Worth the wait.

Pilot pricing for leagues, SaaS analytics for clubs, coaching-tier pricing for training facilities, and fan-tier subscriptions are still being finalized as we close U.S. Phase 1 partnerships. The fan member tier is already accessible through Klout Klube membership.

Standalone tiers — TBD

Standalone tiers come later.
Klout Klube comes now.

Every Klout Klube membership includes the full FanFever360 fan member tier — POV switching, ghost replays, AI-curated highlights — alongside member tier on every other JunkDNA AI vertical and access to private physical venues. One subscription, every door.

Get the Klube
★ Club SaaS & league pilot pricing dropping after Phase 1 LOIs close — check back
The Klout Klube ecosystem

FanFever360 is one node.
The whole network is wider.

Verified identity earned in any JunkDNA vertical flows automatically into FanFever360 — and back. One credential anchors every product. Klout Klube membership is the unified entry point.

★ Klout Klube · Private membership

One credential. Every door.

A private monthly membership built on the same verified-human credential FanFever360 uses for ZK-gated licensing. Includes the full fan member tier across the network and access to private physical venues.

Visit Klout Klube
Frequently asked

Honest answers.

How does this work for coaches and training facilities?
The same wearables that produce broadcast POV switches produce coaching-grade ghost artifacts — they share an underlying data structure (per JDNA-FF360AI's non-separable architecture). For the coaching staff, that means three things: multi-POV game film (review any moment from any participant's perspective — the QB's exact eye-line at the missed read, the receiver's view of the safety, the linebacker's pursuit angle), ghost coaching (the Decision Analytics Engine generates counterfactual replays weighted by the player's actual biometric stress at the moment, distinguishing a poor decision from one constrained by physiological load), and federated training with private data (local model training under JDNA-12 with differential privacy and secure aggregation — the platform never sees raw video and never trains a competitive-intelligence model on a team's playbook without explicit consent). U.S. college and pro programs already invest $5–15M/year in performance technology — FanFever360 turns that into immersive game film instead of 2D footage.
What does "internal volumetric camera" actually mean?
A moving wearable multi-camera array (4-8 cameras embedded in a referee shirt, helmet, headband, player vest, or umpire chest protector) generates a Visual SLAM map of the local environment from the participant's perspective. From that SLAM map, the system can synthesize a virtual free-roaming camera positioned anywhere within the participant's first-person body geometry — including positions physically inaccessible to external venue sensors regardless of their density. That's the internal volumetric camera. View from inside the catcher's mitt at point of contact. The QB's exact eye-line at release. The referee's perspective at the moment of the disputed call.
What are "ghost artifacts"?
A ghost artifact is a persisted data object encoding a counterfactual decision trajectory — what would have happened if the player had made a different choice. The Decision Analytics Engine fuses 8K video, 6-DOF IMU pose, and physiological stress markers (HR, HRV, GSR, respiration) at sub-second cadence to generate these — a computation mathematically impossible for unaided human cognition. The non-separable architecture is critical: fan-facing ghost replays are sanitized subsets of the coaching-grade ghost artifact. They share an underlying data structure. The fan entertainment product cannot be replicated without implementing the underlying coaching simulation system.
Why launch in the U.S. first?
Three reasons converge there. First, the U.S. has the deepest sports-tech investor environment and the leagues most willing to experiment with immersive broadcast — NBA, NFL, MLS, MLB, plus college football programs that already invest $5–15M/yr in performance technology. Second, the NCAA NIL framework has created an immediate need for automated royalty settlement infrastructure that no existing player has built — and the JDNA-17 FedStack was patented for exactly this kind of multi-party fractional attribution. Third, U.S. regulatory environment for athlete biometric data (state BIPA laws, HIPAA-adjacent NCAA medical data rules, FERPA for student athletes) demands the cryptographic audit infrastructure that JDNA-2/4/14 produces natively. Europe and the GCC follow as the platform proves out — both regions have piracy and fan-engagement problems FanFever360 solves, but the U.S. is where the patent's commercial moat compounds fastest.
How does the sub-second royalty settlement actually work?
When a fan switches POV (which happens at sub-second frequency across millions of concurrent fans), the platform triggers a micro-attribution computation. The applicable rights-holder composition changes per switch — because the garment manufacturer of the outgoing POV's wearable differs from the incoming one's. X23X settlement tokens route through the JunkDNA FedStack (JDNA-17), with the Programmable Trust and Compliance Fabric (JDNA-18) enforcing smart contract compliance per event. Settlement is logged immutably and auditable by league compliance officers in near real time.
Is the fan app live yet?
Phase 1 MVP targets initial deployment with U.S. coaching facilities and broadcasting partners. Build documented in JDNA-FF360AI provisional. Fan-tier access is currently bundled into Klout Klube membership — that's the fastest way to get an early seat. More about Klout Klube →
Who builds this?
FanFever360 is a venture of JunkDNA AI, the identity-infrastructure company founded by Michael Hanna. The platform is built on the JunkDNA AI Core Portfolio — 42+ patent filings, U.S. Non-Provisional 19/647,711, PCT/US26/23713, with the FanFever360 system specifically claimed in the JDNA-FF360AI provisional. More about JunkDNA AI →
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The view from inside the play starts here.

The fastest way in: Klout Klube includes the full FanFever360 member tier alongside the rest of the JunkDNA AI ecosystem.

MVP ships Q3 2026 · Standalone tiers TBD