Many IoT applications, including smart homes, smart cities, and smart healthcare, will extensively use image recognition-based decision-making (such as facial recognition for a smart door or lock) in the future. Machine learning (ML) and deep learning (DL) algorithms are useful for image recognition and decision-making. Consequently, they are very promising for IoT applications. This chapter will cover hands-on DL-based image data processing for IoT applications.
The first part of this chapter will briefly describe different IoT applications and their image detection-based decision-making. Furthermore, it will briefly discuss an IoT application and its image detection-based implementation in a real-world scenario. In the second part of the chapter, we shall present a hands-on image detection implementation of an application using a DL algorithm. In this...
