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RealSense and AVerMedia Partner to Accelerate Physical AI Adoption

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SAN FRANCISCO, Dec. 18, 2025 — RealSense, a computer vision company spun out of Intel earlier this year, and AVerMedia, a provider of physical AI solutions, have partnered to accelerate the adoption of physical AI. The companies have developed a robust, humanoid-ready integrated compute solution that reduces the complexity of systems engineering and shortens time-to-market for robotics.

A robot car equipped with a 3D vision camera and a 6-microphone array. Courtesy of RealSense.
A robot car equipped with a 3D vision camera and a six-microphone array. Courtesy of RealSense.

As part of the collaboration, the companies created the AVerMedia SenseEdge Development Kit, a fully integrated, ready-to-use AI vision platform. The SenseEdge Development Kit uses the AVerMedia D317 NVIDIA Jetson AGX Orin carrier board, GMSL/USB/PoE camera adapter boards, and RealSense depth cameras for perception stack development in humanoids and mobile robots.

“This partnership is a major step in our mission to deliver the visual cortex for physical AI,” said Nadav Orbach, CEO of RealSense. “By combining RealSense’s industry-leading depth perception with AVerMedia’s powerful edge compute solutions, we’re enabling robots to see, sense and act in real time in dynamic human environments.”

The platform is designed to allow robotics innovators to move quickly and focus on core competencies and stake leadership positions in rapidly expanding markets, the companies said, noting the rapid emergence of opportunities happening against a backdrop of surging investment and real-world demand.



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Published: December 2025
Glossary
machine vision
Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
computer vision
Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training...
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