What makes up vision solutions and how to build a heterogeneous compute system that addresses the demands of computer vision.
Computer vision devices that can ‘see’ and act on visual information are bringing new efficiencies and functionalities to IoT.
But with new opportunities come complexities.
The specific features and functionality of smart vision use cases vary widely. Creating a system that catches defects on an assembly line requires different imaging, machine learning, and workloads compared to one that can read license plates on moving vehicles or tell a dog from a burglar.
This can make it hard to know where to start with computer vision design.
The white paper covers:
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