The BrainChip Accelerator implements SNNs using Xilinx’s Kintex UltraScale FPGA.
SNN has other applications such as facial recognition, gaming, and visual inspection. Upscaling can help in finding objects; thus, the hardware platform handles upscaling as well as downscaling of up to 16 video streams. The maximum input video stream resolution is 1080p.
Developers will need to determine what kind of neural network will work best for their application. SNNs offer significant advantages if they can be applied to the task, whether using BrainChip’s software or hardware. Applications like augmented reality (AR), where objects of a specific type need to be located within an image, are ripe for SNN support.
DNN/CNNs can identify many objects, but oftentimes this isn’t required for an application.
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