April 2020
Intermediate to advanced
294 pages
7h 53m
English
The ability to recognize objects is becoming a critical skill for embedded systems. Whether the system needs to recognize an object on an assembly line or recognize a person or objects in its path, environmental awareness is becoming an important feature for many systems. Hand coding a recognition algorithm using traditional coding techniques is extremely difficult and challenging. Using machine learning and leveraging the CIFAR-10 classes, to build object recognition into a system, is nearly as simple as writing a Hello World! application.
In this project, we will explore machine learning and the embedded libraries that allow us to perform object detection on a microcontroller-based ...
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