u/Ivan-TBP

I’ve been wondering whether we’re overcomplicating lighting control.
In virtual production and broadcast environments, we already have access to camera tracking data through FreeD. Technically, it’s possible to use camera position, pan, tilt, and zoom as triggers for DMX events.
For example:
a camera enters a specific area → a lighting cue is triggered;
a camera points at a set piece → a spotlight activates;
a camera moves to a predefined position → a scene changes automatically.
The technology works, but I’m not sure whether it solves a real problem.
On one hand, it could reduce operator workload and create repeatable automation.
On the other hand, lighting programmers already have reliable workflows, and introducing tracking into the chain adds another possible point of failure.
I’ve been experimenting with this idea through a project called FreeD Trigger, but I’m more interested in the question than the software itself.
Would you trust camera tracking to drive lighting cues during a real production?
Or is this one of those ideas that sounds clever but doesn’t provide enough value compared to traditional show control?
For transparency, this is the tool I’ve been using to test the concept:
https://apps.apple.com/ua/app/freedtriggerapp/id6770923774

I’ve been thinking about something that feels surprisingly underexplored in virtual production, live events, and interactive broadcasting.
Most production systems are still controlled through buttons, timelines, operators, mobile apps, tracking systems, or custom integrations. Even when we automate workflows, we’re usually triggering actions through traditional interfaces.
But what if human movement itself became the interface?
Not motion capture for character animation.
Not body tracking for visual effects.
Actual production control.
Imagine showing a specific pose, gesture, or movement to a camera and having that action instantly trigger events across your production environment.
For example:
A presenter raises a hand and a graphic sequence starts.
A performer makes a predefined gesture and lighting changes automatically.
A host walks into a specific area and the broadcast switches to another scene.
A contestant completes a physical challenge and the scoring system updates automatically.
A speaker points toward an object and a virtual animation appears in Unreal Engine.
Over the last few months I’ve been experimenting with this idea through a project called MagicEvent.
Instead of requiring markers, wearables, or complex motion-capture setups, it analyzes live video from one, two, or three cameras and allows users to create references for poses, gestures, and movement patterns. Those actions can then be recognized in real time and converted into triggers.
The system can output:
FreeD
OSC
DMX (Art-Net / sACN)
which means a single gesture can potentially control:
Unreal Engine
TouchDesigner
Resolume
lighting consoles
media servers
interactive installations
broadcast graphics systems
show-control systems
What I find interesting isn’t the technology itself, but the workflow possibilities.
Instead of asking:
“Where is the camera?”
or
“Where is the actor?”
the system can answer:
“What is the person doing right now?”
and use that information to drive automation.
Another area where this becomes especially interesting is online interactive shows and live streaming.
Most interactive broadcasts rely on chat commands, audience voting, companion apps, QR codes, or manual operator actions.
Gesture recognition opens up another possibility.
Imagine a live stream where:
the host triggers graphics simply by moving;
a performer launches visual effects with predefined gestures;
game show contestants interact with virtual objects using body movement;
educational presenters control content without touching a keyboard or controller;
virtual event speakers interact with graphics naturally on camera.
Because triggers can be sent through FreeD, OSC, and DMX simultaneously, a single gesture could control graphics, lighting, media playback, sound systems, and virtual environments at the same time.
What I also like about this approach is that it lowers the barrier to experimentation.
Many interactive systems require custom development, expensive sensors, dedicated tracking hardware, or complex integrations before you can even test an idea.
With camera-based gesture recognition, it’s possible to prototype concepts quickly, validate workflows, and explore use cases before investing in larger production systems.
I’m genuinely curious how others see this evolving.
Have you experimented with gesture-based control?
Do you see practical applications for it in production environments?
Could human movement eventually become a standard control interface alongside keyboards, touchscreens, and control surfaces?
Would you trust gesture recognition to trigger production-critical events?
I’d love to hear real-world experiences, ideas, and concerns from people working in virtual production, broadcast, live events, streaming, interactive media, and show automation.
For transparency: MagicEvent is a project I’m working on and the reason I’ve been exploring these ideas.
More information:
https://www.tobeproduction.com/soft
MagicEvent download:
https://www.tobeproduction.com/_files/archives/a4b5fe_19da6cbc4ca84a2992dfbbc27f320d72.zip?dn=MagicEvent-7.2.1.zip