Samsung

Samsung launches ISOCELL Vizion 63D and Vizion 931 sensors for XR, robotics

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Samsung today launched new Vizion series sensors – ISOCELL Vizion 63D and ISOCELL Vizion 931. The former is a time-of-flight sensor, that captures high-resolution 3D images with exceptional detail, whereas the latter is a global shutter sensor, that captures dynamic moments with clarity and precision.

The South Korean tech giant revealed that the new Samsung ISOCELL Vizion 63D and ISOCELL Vizion 931 sensors are currently sampling to OEMs internationally. You might be assuming the new ToF sensor’s debut with Galaxy S24 Ultra, which might not happen.

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ISOCELL Vizion 63D

Samsung’s ISOCELL Vizion 63D is an indirect ToF (iToF) sensor that measures the phase shift between emitted and reflected light to sense its surroundings in three dimensions.

With exceptional accuracy and clarity, the Vizion 63D is ideal for service and industrial robots as well as XR devices and facial authentication where high-resolution and precise depth measuring are crucial.

The sensor can also process images at up to 60 frames per second in QVGA resolution (320×240), which is a high-demand display resolution used in commercial and industrial markets.

The ISOCELL Vizion 63D achieves high Video Graphics Array (VGA) resolution (640×480) within a 1/6.4” optical format, making it an ideal fit for compact, on-the-go devices.

In addition, the ISOCELL Vizion 63D supports both flood (high-resolution at short-range) and spot (long-range) lighting modes, significantly extending its measurable distance range from its predecessor’s five meters to 10.

ISOCELL Vizion 931

The ISOCELL Vizion 931 is a global shutter image sensor tailored for capturing rapid movements without the “jello effect”. Unlike rolling shutter sensors that scan the scene line by line from top to bottom in a “rolling” manner, global shutter sensors capture the entire scene at once or “globally,” similar to how human eyes see.

This allows the ISOCELL Vizion 931 to capture sharp, undistorted images of moving objects, making it well-suited for motion-tracking in XR devices, gaming systems, service and logistics robots as well as drones. It’s optimal for iris recognition, eye tracking as well as facial and gesture detection in head-mounted display devices like XR headsets.

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