rc_visard 160

About

About rc_visard 160

rc_visard 160 uses two calibrated cameras separated by a 160-millimetre stereo baseline to produce depth images and three-dimensional point clouds at working distances beyond approximately 500 millimetres. An onboard NVIDIA Tegra processor performs stereo matching, camera calibration and visual-inertial state estimation without requiring a separate vision computer.

The sensor exposes data and configuration through REST, GenICam and ROS interfaces. Optional rc_reason modules add CAD-based object recognition, load-carrier detection, box picking, item picking, surface matching and SLAM. Integrators can therefore deploy the unit as a general calibrated depth sensor or as a self-contained perception system for robot guidance and manipulation.

Supply

Supply / Components

  • rc_visard 160

    Onboard Compute - Compute & Control - NVIDIA - Nvidia Tegra K1 is specified in the Roboception rc_visard 160 - source: doc.rc-visard.com

    Source

Context

Market context

rc_visard 160 is a smart stereo-vision sensor with onboard processing for 3D data, point clouds and robot-friendly perception outputs.

  • Target environment: Bin picking, machine tending, mobile robots, industrial manipulation, object detection and robot guidance cells.
  • Workflow context: Mounted as a 3D perception sensor with onboard compute and software modules for robot integration.
  • Customer context: Robot integrators, automation teams, machine builders and perception developers needing industrial 3D sensing.
  • Deployment model: Commercial sensor family with multiple baseline variants.
  • Commercial maturity: Mature industrial 3D vision product family with public model-level data.
  • Adoption constraints: Adoption depends on working distance, baseline, lighting, robot interface, onboard processing needs, software modules and environmental fit.
  • Market position: Smart 3D vision component for robot perception and guidance.
  • Adjacent products: Adjacent to stereo cameras, depth cameras, 3D sensors, bin-picking systems and machine-vision cameras.

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