3D machine vision in robotic surgery

Enhanced depth perception

3D vision enables surgeons to precisely assess surgical regions, surface contours, and features such as scars and papillomas with millimeter accuracy.

AI-powered surgical automation

Leveraging detailed 3D mapping, AI can automatically identify and segment anatomical structures, while providing real-time recommendations for optimal cutting paths.

Dynamic 360° visualization

3D vision provides clearer, more detailed views of hard-to-reach anatomical areas, reducing blind spots and enhancing surgical safety.

Increased precision in real-time

AI-powered surgical automation requires an extremely accurate vision system capable of detecting tiny objects with sub-millimeter precision. In addition, real-time tracking is essential to continuously monitor every movement, ensuring patient safety while maximizing operational efficiency.

Zivid 3D cameras empower robots to accurately capture small and intricate objects, delivering high-definition, full-color images in both 2D and 3D point clouds. The system can trace contours, follow complex shapes, and detect fine details with human-like perception, capturing every feature in the blink of an eye.

Robot-mounted 3D scanning

With the Zivid 3D camera, your robot can dynamically adjust its viewpoint — moving closer, pulling back, or changing angles — to always capture the best possible view.

Weighing under 1000 g and featuring a compact footprint, Zivid cameras deliver HD point clouds without compromising the robot’s payload capacity or maneuverability. This makes them ideal for demanding robotic surgery, helping avoid blind spots, occlusion, and point cloud artifacts.