Image sensor evaluation kits support VR and smart buildings
Evaluation kits from ams support eye tracking, presence detection and object recognition in virtual reality headsets, smart lighting and home and building
The Raspberry Pi and Arduino-based NanEyeC evaluation kits are based around the ams NanEyeC miniature image sensor.
The NanEyeC camera, image sensor is supplied as a 1.0 x 1.0mm surface-mount module. It produces 100kpixel resolution up to 58 frames per second and can be used for video applications where the camera needs to be accommodated in an extremely small space, such as eye tracking in virtual reality (VR) headsets. 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.
The NanoVision demo kit for the NanEyeC is based on an Arduino development platform. It includes all necessary drivers to interface the sensor’s single-ended interface mode (SEIM) output to an Arm Cortex-M7 microcontroller. It also supports image processing including functions like colour reconstruction and white-point balancing.
The second board is the NanoBerry, designed for more demanding operations like eye tracking or stereo vision systems. This 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. Engineers can use the Arm Cortex-A53-based processor to perform demanding operations such as object detection, object tracking and computer vision functions provided by the OpenCV library.
The NanoBerry kit is suitable for high frame-rate and low-latency applications such as eye tracking. When integrated into the NanEye PC viewer, it enables full evaluation of the NanEyeC with access to all registers and raw image data.
The NanoVision board is available now to customers on request and the NanoBerry kit will be demonstrated at CES 2020 (the Venetian Tower, Suite 30-236) and will be available to customers in Q1 2020.