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Monocular depth estimation is an AI technology that estimates the depth and spatial structure of a scene from a single 2D camera image. Unlike conventional stereo vision, it does not require two cameras or dedicated depth sensors. NOVIUS applies monocular depth estimation to generate real-time depth information from existing camera systems.

Yes. NOVIUS uses AI-based monocular depth estimation to generate depth information from a single camera feed in real time. This enables 2D video to be transformed into spatially enhanced 3D information without requiring a stereo camera, LiDAR, or other dedicated depth sensor.

Yes. NOVIUS technology is designed to work with existing camera and imaging systems. By adding an external edge AI device, depth information can be generated from conventional camera input without replacing the existing camera system or introducing cloud-based processing.

No. NOVIUS technology is designed for real-time processing using an external edge AI device. Camera data can be processed locally without sending video to the cloud, helping reduce latency and supporting applications where real-time performance and data privacy are important.

Yes. NOVIUS provides technology designed for integration with existing imaging and equipment systems. Depending on the application, the technology can be provided through SDK, API, or licensing, allowing partners to integrate AI-based depth and spatial information capabilities into their own products and systems.

Yes. NOVIUS can provide its technology through SDK, API, and licensing models. Our platform is designed to support integration across multiple devices and industries, allowing partners to incorporate real-time depth and spatial information capabilities into their own products and applications.

Yes. NOVIUS can work with companies to evaluate the technology through a proof of concept (PoC) or technical validation. We can discuss the target application, existing equipment, technical requirements, and evaluation objectives before defining an appropriate validation approach.