Get your Edge AI device on Amazon here: https://amzn.to/3cVEarR
Android TV boxes have evolved a lot recently and now they offer (at an attractive benefit-cost ratio) hardware capabilities that can be leveraged for the IoT sector that is witnessing a growth of applications that require local processing of data.
If you haven't already heard of the DroiX X96 Mini Android TV box then it's worth taking a look. X96 Mini offers a multitude of great options that are needed to facilitate local data processing in order to limit cloud traffic and to avoid bandwidth saturation - an important aspect for stable operations in IoT application scenarios.
Such a device paired with a camera would make an excellent combination for smart applications that would require collecting information about vehicle traffic, crowded spaces or flood level of a river crossing the city. To prevent sending all images from a network of cameras to a Cloud Data Center to process these datasets and to provide a fast response, image processing should run on Edge AI devices with Computer Vision capabilities. Such capabilities would allow the acquiring, processing, analyzing and understanding of digital images in order to extract high-dimensional data from the real world in order to produce numerical or semantic information.
Due to its high quality hardware (Quad Core Amlogic S905W chipset, 2GB of RAM and Meli-450 Penta-Core graphics processing unit) and an extremely miniature and compact size (features nearly 8cm in width and length), X96 mini would serve very well for such a purpose.
Another great advantage of Edge AI devices is their capability to perform complex sensing and analysis even in the absence of the Internet connection. With 16 GB of eMMC (Solid) memory, X96 mini offers plenty of space to install your applications and provide room to store the data logs in case of failed connectivity.
Get your Edge AI device on Amazon here: https://amzn.to/3cVEarR
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