Engineers using the NanoBerry board can take advantage of the high performance Arm Cortex-A53-based processor to perform more demanding operations such as object detection, object tracking and computer vision functions provided by the OpenCV library. The NanoBerry evaluation kit uses a NanEyeC image sensor add-on board to the Raspberry Pi port and includes firmware to interface to the Raspberry Pi host processor. NanoBerry board for more demanding operations like eye tracking or stereo vision systems Using the NanoVision support package, engineers can accelerate the development of low frame-rate applications like presence detection within the familiar Arduino hardware development environment. It also supports image processing including functions like color reconstruction and white-point balancing. It includes all necessary drivers to interface the sensor’s Single-Ended Interface Mode (SEIM) output to an Arm® Cortex®-M7 microcontroller. The new NanoVision demo kit for the NanEyeC is based on an Arduino development platform. NanoVision board for lower-frame rate applications like presence detection It can also be applied in user presence detection, to support automatic power on/off controls in Home and Building Automation (HABA) applications such as air conditioning, home robotics, appliances and smart lighting. For instance, it is ideal for eye tracking in the increasingly popular virtual reality headsets. As the NanEyeC offers a rare combination of small size, high image quality and high frame rate, it can be used for video applications in which the camera must be invisible to the end user, or be accommodated in an extremely small space. This small form factor can produce an amazing 100kpixel resolution up to 58 frames/s. The NanEyeC camera is a full-featured image sensor supplied as a tiny 1mm x 1mm surface-mount module. PREMSTAETTEN, Austria-( BUSINESS WIRE)-ams (SIX: AMS), a leading worldwide supplier of high-performance sensor solutions, today releases the NanoVision and NanoBerry evaluation kits, which provide a ready-made platform for the development of innovative solutions based on the ams NanEyeC miniature image sensor.
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