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SICK launches its first industrial imaging camera to capture high-resolution 3D data

  • By Neil Martin
  • News
Visionary T Units

SICK has launched its first robust, industrial imaging camera to capture high-resolution 3D data with a single snapshot, whether the object is stationary, or moving.

Called the SICK Visionary-T, the camera uses high-resolution Time-of–Flight (TOF) technology to achieve superior quality 3D imaging for vision applications.

SICK highlights the fact unlike 3D vision systems based on laser triangulation, the 3D image is captured with one shot of light, without the need to profile a moving object.

Whist this technology has already been introduced for consumer applications, this new SICK camera is designed for 24/7 industrial use in rugged conditions.

This means, say SICK, that the camera offers an affordable alternative to high-end 3D vision systems so that manufacturers and machine builders can integrate 3D imaging into a wide range of vision applications.

Examples include obstacle recognition for automated vehicle, or robot navigation, intrusion detection,  parcel quality checking, or gesture recognition. Images of moving, or stationary objects are captured within a range of up to seven metres.

SICK’s National Product Manager for Imaging, Measurement, Ranging and Systems Neil Sandhu said: “The Visionary T builds up a detailed and accurate real-time 3D image of fixed or moving objects with excellent results regardless of angle, surface finish, material or shape of object. The Snapshot technology means it is not necessary to design a system in which either the camera or the object must move across a laser line to create a triangulated image.

“In a single shot, the Visionary T combines different aspects of the light scattered by the object to build up a detailed picture of shape, distance, reflectivity and object depth.  Our trials have shown that the single shot method performs well, with less false imaging than can occur with some of the other commonly used methods, and lead to far more reliable results over a wide range of conditions.”