AMS launches Nano evaluation kits for Arduino and Raspberry Pi

Author: EIS Release Date: Feb 24, 2020


AMS has released the Nanovision and Nanoberry evaluation kits, providing a platform for development based on its NaneyeC miniature image sensor.
 
The NaneyeC camera is an image sensor supplied as a 1x1mm surface-mount module. It can produce 100kpixel resolution up to 58fps.
 
AMS suggests the module could be used for video applications in which the camera must be invisible to the end user or be accommodated in a small space. For instance, it’s suitable for eye tracking in virtual reality headsets.
 
It can also be applied in user presence detection, to support automatic power on/off controls in home and building automation 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 the 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 color reconstruction and white-point balancing. Using the Nanovision support package, engineers can facilitate the development of low frame-rate applications like presence detection within the familiar Arduino hardware development environment.
 
Nanoberry evaluation kits use a NaneyeC image sensor add-on board to the Raspberry Pi port and include firmware to interface to the Raspberry Pi host processor. Engineers using the Nanoberry board can use the Arm Cortex-A53-based processor for more 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. Integration into the Naneye PC viewer enables full evaluation of the NaneyeC with access to all registers and raw image data.