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 device.
The following topics will be covered in this chapter:
- An introduction to machine learning
- Object detection requirements
- Object...
