DeepInSight Expands 3D Sensing to Power 'Physical AI'

DeepInSight is expanding its AI vision and 3D sensing capabilities from automotive safety into the broader realm of "physical AI." The company aims to bridge the gap between digital intelligence and the physical world by deploying high-precision spatial data tools for robotics and industrial simulations.

At the center of this expansion is a shift toward embedded, on-device AI. By performing complex vision operations directly on edge hardware rather than relying on external servers, DeepInSight ensures the real-time performance necessary for critical safety and industrial applications. CEO Oh Eun-song noted that the company's core competitiveness lies in its ability to install artificial intelligence and 3D sensing technologies directly into the camera system.

From Cabin Safety to Spatial Mapping

The company first established its footprint in the mobility sector with CAMOSYS, an AI-driven in-cabin monitoring system. This technology analyzes driver eye movement, gaze, and head direction in real-time to detect signs of drowsiness or distraction, providing a critical layer of safety for the evolving autonomous driving market.

Building on this expertise in light capture and image data, DeepInSight has launched DIMENVUE. This portable 3D scanner and LiDAR device allows users to convert physical industrial sites and objects into high-quality 3D data. This capability is essential for creating digital twins—virtual replicas of physical assets—and providing the foundational data required for robot learning in complex environments.

The Impact on Physical AI

This pivot toward "Physical AI" represents a significant shift in how AI interacts with real-world spaces. By simplifying the creation of 3D spatial maps and reducing computational latency through on-device processing, DeepInSight's technology enables more scalable deployments of AI in logistics, manufacturing, and transportation. For the industry, this means robots can interact with their surroundings more accurately and safely, reducing the reliance on massive cloud infrastructure for immediate environmental awareness.

Future Outlook

As DeepInSight targets smart factories and advanced robotics, the company is focusing on the commercialization of its 3D data platforms. While the firm continues to refine its edge-AI capabilities, the industry will be watching how these spatial sensing tools integrate into larger industrial ecosystems to automate complex physical tasks. The transition from monitoring a driver's gaze to mapping an entire factory floor marks a strategic evolution in the company's pursuit of seamless human-machine interaction.