R2 | Depence
As the software ecosystem continues to evolve—with Depence R3 offering particle fireworks, VR support, and faster workflows—the core principles of Depence remain unchanged: . Whether you are a lighting designer, a fountain engineer, a laser show programmer, or an event producer, Depence R2 provides the tools you need to design, refine, and present your vision with unparalleled accuracy and impact.
(originally released and updated as Depence² by Syncronorm ) is a powerhouse, multi-media show control and 3D pre-visualization software platform built specifically for the entertainment, live event, and architectural design industries. Acting as the bridge between abstract concept and physical execution, it allows production designers, lighting directors, and laser programmers to build, simulate, and control massive multi-sensory live shows in a hyper-realistic, real-time environment.
This article provides a comprehensive look at Depence R2, covering its core features, technical specifications, real‑world use cases, learning resources, and how it compares to its successor, Depence R3.
The designer imports a DWG or DXF file of the venue. Depence R2 respects real-world scale (millimeters/feet). You place walls, truss structures, and stage decks. depence r2
Right-click on any DMX channel and select "Export Log." Depence R2 can export a CSV file showing the exact value of every parameter over time. This is invaluable for handing over show files to site technicians who don't have the software.
With the rise of Extended Reality (XR) and virtual events, Depence R2 (specifically in versions 2.2 and later) offers robust tools for virtual camera tracking, allowing users to create immersive, interactive experiences. Key Features in Recent Updates (2.2, 2.3)
Unlike software that treats LED screens as just "pixel mapping," Depence R2 simulates media server outputs (like Green Hippo or Disguise). You can apply video mapping to curved surfaces, and the software calculates the real processing load and latency. As the software ecosystem continues to evolve—with Depence
By rendering highly detailed virtual replicas of real-world physical equipment in real time, Depence R2 eliminates the expensive guesswork of production design. It allows developers, LDs (lighting designers), and programmers to build and preview massive installations long before stepping onto a real stage. The Evolution of Depence R2
In the fast-paced world of live events, touring, and architectural lighting, the gap between a designer's creative vision and its final execution has always been a significant challenge. As shows become increasingly complex, incorporating moving lights, lasers, video panels, and pyrotechnics, the risk of costly missteps rises dramatically. This is where , a powerful 3D stage lighting and media control design software, redefines the industry standard. By bridging the gap between design and reality, Depence R2 has become an essential tool for pre-visualization (pre-viz) and show control.
Creating detailed concert stages with trusses, LED screens, and moving lights. Event Planning: Acting as the bridge between abstract concept and
Instead of sending a 2D plan to the client, you render a 4K fly-through video. Depence R2 includes a "Cinematic Camera" mode with depth of field, motion blur, and auto-exposure, allowing you to produce pitch videos indistinguishable from the actual event recording.
Where:
Depence R2 is not just an update; it is a profound leap forward in real-time simulation, providing a unified platform where fountains, lasers, lighting, video, and special effects converge in a breathtakingly realistic 3D environment. What is Depence R2?
In essence, Depence R2 measures the reduction in variance of Y that can be attributed to the knowledge of X.
Depence R2, also known as the coefficient of dependence, is a statistical measure that quantifies the strength and direction of the relationship between two variables. It is a variant of the R2 metric, specifically designed to capture the dependence between two variables, rather than the goodness of fit of a regression model. Depence R2 is used to assess the extent to which one variable can be predicted or explained by the other.
