TL;DR —
This series of articles will shed some light on the other components and challenges of Edge AI. The series is divided as follows: Why run AI algorithms on edge? And why not on cloud? To answer this question let’s consider two scenarios: Cloud based architecture, where inference happens on cloud and Edge based architecture. We can send the raw image (RGB or YUV) from edge device as it's captured from a camera. We will use Mobilenet SSD model for Object detection in this series.
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Written by
@hastantram
Engineering Manager/Lead, Edge Platform Team,
Nauto Inc
Topics and
tags
tags
deep-learning|ai|what-is-edge-ai|machine-learning|artificial-intelligence|on-device-ai|run-ai-algorithms-locally|tensorflow
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