Motion Capture & Spatial Tracking

AI GLUE Talent Tracking & AR Interaction

Beacon-free talent positioning for AR occlusion and zone interaction.

AI GLUE is stYpe’s beacon-free talent tracking system for studios and live production. It determines people’s positions within a defined area so the production platform can manage front-to-back relationships with virtual graphics and trigger location-based interaction.

Product brand: stYpe

AI GLUE component reference with the display background removed
AI GLUE component illustration from the supplied company material
Talent positioning
No worn beacons
Interaction
Depth order / zones
Production
AR presentations

Overview

Use presenter position to control graphic interaction

When a presenter shares the frame with a virtual chart, the production system needs to establish depth order and how graphics respond to movement. AI GLUE supplies person-position information for occlusion, graphic visibility and zone triggers. Linking this information to the programme script supports staged data presentations, model explanations and interactive segments.

In focus

Capabilities and production benefits

Beacon-free positioning

Locate presenters without active or passive beacons attached to their clothing. The interaction can follow normal wardrobe and blocking, reducing preparation for on-screen talent.

Virtual-to-real depth order

Relate the presenter’s position to the virtual graphic. The compositing system uses that relationship to update foreground and background layering as the presenter moves.

Location-based triggers

Define interaction zones around the scene and use position to show or hide graphics. This suits separate presentation areas and scripted model or content changes.

Multiple people and scalable coverage

Track several people and expand coverage with additional sensors. Layout follows the working area, overlapping views and set obstructions along the actual movement routes.

Workflow

From presenter movement to AR response

Sensors observe the working area, processing establishes talent location, and the production system relates that location to the virtual scene. Graphics and compositing logic determine the final response.

  1. Observe

    Capture the presenter within the calibrated area.

  2. Locate

    Relate the detected position to scene coordinates.

  3. Evaluate

    Check occlusion relationships and defined zones.

  4. Render

    Update graphics and the final programme composite.

Integration

Installation and show rehearsal

Define presenter movement before deciding sensor placement. Test with the actual set, programme lighting and people crossing each other.

AI GLUE Talent Tracking & Interaction workflow illustration
Workflow illustration; not a product screenshot, wiring diagram or measured result.

Map the space

Provide dimensions, ceiling height, a floor plan and presentation routes. Mark desks, LED walls and possible occlusions.

Install and align

Arrange sensing, processing, synchronization and calibration components. Align the tracking area with the virtual scene.

Build interaction rules

Define element locations and zones in the production system. Test visibility and animation changes at the boundaries.

Rehearse the sequence

Run single- and multi-person movement, crossings and entries. Save the setup and reassess coverage when the scenery changes.

Configuration

Configuration and selection

AI GLUE Talent Tracking & AR Interaction — Configuration and selection
Product typeBeacon-free talent awareness and interaction
Core informationTalent location relative to the virtual scene
Production useOcclusion, positional triggers and multi-person interaction
System elementsSensors, processing, synchronization and calibration components
Coverage designDefined by movement, scenery and occlusion
Workflow integrationstYpe tracking systems or fixed-camera workflows

Applications

Production applications

News and data explainers

Let the presenter move between charts and models, using spatial relationships to support the explanation.

Sports studio presentation

Connect presentation zones with tactical graphics or virtual playing surfaces and rehearse the interaction as part of the segment.

Education and demonstrations

Allow an instructor to move around virtual equipment or a teaching model without a handheld tracking prop.

Application and workflow visuals

Virtual studio presentation concept
Virtual studio presentation conceptAI-generated concept, not a product test, software screenshot or customer project.

Engineering decisions

Define the configuration. Validate the workflow.

Define the data the interaction needs

Distinguish person position, zone triggers, front-to-back ordering and skeletal motion. Request the output fields available in the proposed version and license. Talent location, full-body motion capture and pixel-level matting are different deliverables.

Design coverage around the programme

Supply talent count, entrances, routes, desk heights, wardrobe and lighting examples. Assess crossing paths and set occlusions. Expanding coverage involves overlapping views, calibration, processing resources and cabling, not just adding sensors in proportion to floor area.

Assign ownership of interaction logic

Document what the processing system sends and which production component handles graphic visibility, trigger delays and manual override. Talent and camera coordinates need a common reference. Moving graphics and camera shots also require timing checks through the programme chain.

Suggested validation and handover checks

  1. Test crossings and re-entry

    Rehearse crossings, occlusion, sitting, exits and re-entry in production wardrobe. Check for swapped person associations and position jumps. Link exceptions to recordings and the set plan, with recovery times and false-trigger limits agreed for the actual programme.

  2. Exercise trigger boundaries

    Have talent pause at zone edges, repeatedly enter and leave, and approach one graphic together. Check flickering visibility, incorrect depth ordering and the operator's removal procedure. Acceptance concerns the complete interaction, not merely detection boxes in a sensor view.

  3. Prove change and failure procedures

    Recheck alignment after permitted scenery changes and simulate a data interruption in a test environment. Establish the fallback picture or manual control procedure. Deliver zone definitions, coordinate transforms, versions and a record of tested actions.

FAQ

Common questions

What information does AI GLUE provide?

Its core information is a person’s position in the working space and relationship to virtual graphics, used by the production platform for occlusion and zone responses.

How is a presenter shown moving in front of and behind graphics?

Align the sensing area to the scene coordinates, define graphic placement and compositing logic, then test front-to-back movement in the final image.

How is a multi-presenter setup planned?

Use presenter count, crossing routes and set obstructions to arrange sensor views. Rehearse the actual segment to check continuous positioning and zone responses.

How does it work with camera tracking?

Talent tracking describes the presenter’s position; camera tracking describes the view. Moving-camera AR aligns both to the same scene reference and checks their timing separately.

What changes when coverage is expanded?

Additional sensors require installation, view-overlap and calibration planning, particularly behind desks, around corners and where people cross.

Does AI GLUE automatically provide a hair-detail alpha matte?

Person location and depth-order decisions do not establish pixel-level matting. A matte and its edge quality are separate requirements. Confirm the output and receiving application, then test hair, translucent clothing and fast movement.

Does markerless operation mean unlimited people and unrestricted coverage?

No. Talent count, occlusion, sensor placement and software revision determine the working conditions. Reconcile the product overview and generation-specific motion-capture descriptions with the actual supply list instead of assuming unlimited capacity or a guaranteed floor area.

Technical references and supply scope

AI GLUE is a stYpe product. Confirm the supplied version, outputs and licenses. Lecen's coverage design, spatial calibration and programme integration are agreed per project; skeletal outputs, matting requirements and site results need separate validation.

These references explain principles and integration conditions. Confirm capabilities against the supplied revision, project configuration and agreed tests.

Project brief

Information for configuration

Talent movement

Presenter count, crossing paths, furniture occlusion and zone entry.

Graphic behavior

Front/back relationships, zone responses and operator control.

Production context

Floor plan, lighting, cameras and the existing renderer.

Talk to Lecen

Build interaction around the programme

Share presenter count, studio layout and the graphic script to scope sensing coverage and AR interaction.

Discuss AI GLUE