Seeing Machines Publishes Technical Paper on Real-Time 3D Human Understanding for Physical AI

GlobeNewswire··AUUS·Read original
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Summary · why it matters

Seeing Machines Limited published a Technical Paper demonstrating how robots and other Physical AI systems can achieve real-time 3D human understanding directly on embedded hardware. The paper presents the company's Human Mesh Recovery technology, a core capability of its Human-Centred Physical AI Platform launched in August 2026, which uses a single camera view to reconstruct a detailed 3D representation of a person so a machine can understand their location, posture and movement in real time. Deployed on NVIDIA Jetson Thor hardware, the technology delivers up to 180 FPS while combining state-of-the-art accuracy with low latency and compact model size, and the HMR model supports both standard RGB cameras and RGB-D cameras without increasing its parameter count. CEO Paul McGlone said the technology brings detailed 3D human understanding into real-world environments such as factories, hospitals and warehouses, drawing on Seeing Machines' 25 years of human-sensing expertise. Seeing Machines, founded in 2000 and headquartered in Australia, operates across Australia, the USA, Europe and Asia.

Impact on assets 2

Robotics & Physical AI▲
Seeing Machines Limited
SEE
▲ PositiveTechnologyrelevance

Seeing Machines published a technical paper demonstrating its Human Mesh Recovery technology for real-time 3D human understanding on embedded hardware.

NVIDIA Corporation
NVDA
▲ PositiveDemandrelevance

Seeing Machines' HMR technology is deployed on NVIDIA Jetson Thor hardware, indicating adoption of NVIDIA's embedded platform.

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