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.
This white paper outlines:
- The key growth areas for computer vision.
- The foundational technologies in vision solutions.
- Development considerations to build a scalable device.
- How to build a heterogeneous compute system that addresses the flexible demands of computer vision.
Download the white paper today to get started.