iEngineTM is the foundation for the evolution of proprietary software technologies. It is a scalable and modular framework and it’s based on the Digital Actor concept that embraces any type of animatable three-dimensional model.
iEngine is the framework developed by Digitalcomoedia aimed at advanced virtual interaction. It represents the synthesis of know-how resulting from a decade of research and development and is the foundation for the evolution of proprietary software technologies
iEngine™ uses the latest graphics technologies to deliver high-impact visual experiences in all viewing modes: desktop, VR, AR, MR and XR.
Whether the user is in front of a screen, immersed in the application through virtual reality, or the object of interest is projected into physical space through augmented or mixed reality, iEngine™ delivers high-value experiences.
The iEngine™ modules allow all kinds of interaction with the environment and other users to be managed, giving way to create both immersive and nonimmersive, single-user-based as well as collaborative experiences.
This feature, along with the different visualization modes, allow virtually any simulative use case to be replicated.
The input plug-ins found in iEngine™ are created to enable the use of a wide array of peripherals, which allow the user to interact with the application in multiple ways.
From more established technologies such as mouse and keyboard or controllers, to next-gen ones such as gestures, hand-tracking, eye-tracking, and voice control, they all converge to faithfully reproduce the interactions the user might have with the real object.
THE iENGINE KERNEL INCLUDES THE FOLLOWING BASIC COMPONENTS:
Part of the platform that manages and enables interaction functionality between the user and the 3D asset, supporting the main types of existing physical controllers
Able to provide access to any type of content (3D models, textures, animations) supported by the system
Capable of handling the execution of complex hierarchical animations in real time
Responsible for photorealistic rendering of the current 3D asset at the target resolution and frame-rate
Checks authorization of required functionality and enables or disables based on a licensing plan
The architecture of iEngine is highly modular, and in that sense it can be defined as a framework in which a series of modules (such as application plug-ins) can be integrated that, when properly combined, configure complete applications for specific purposes and contexts, including
Designed to display Visual Engine output in immersive Virtual Reality, with support for any HMD device compatible with Unity3D and Steam
Designed to visualize Visual Engine output in immersive Virtual Reality, with support for any optical and video see-through HMD device, compatible with Unity3D and Steam
Provides the user with capabilities to define 3D assets that can be imported within iEngine, in terms of content, animations, procedural rules, timing
Technology that extends Interaction Engine functionality to gesture-based interaction through support for visors with hand-tracking capabilities
Technology that extends Interaction Engine functionality to gesture-based interaction through support for visors with eye-tracking capabilities
Technology that provides import, conversion, and adaptation capabilities of externally made 3D models in different formats, in the one compatible with the iEngine kernel
∎ Next-generation viewer support
∎ SteamVr compatible tracking
∎ Eye tracking for dynamic context selection
∎ Naked hands interaction
∎ Use of new and advanced rendering pipelines (URP, HDRP)
∎ Foveatic rendering
∎ Use of depth awarness with integration of LIDAR in XR environments
∎ Immersiveness with high FOV (field of view)
∎ Multiplayer execution via intranet and via the Internet
∎ Sharing of the user field of view with multiple passive clients
∎ Support for the use of responsive virtual assistants
∎ Integration of multiplayer from multiple simultaneous scenes in VR
∎ Access and experience customization based on biometric profile
∎ User performance sampling
∎ Generation of usage statistics
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