The image recognition landscape in IoT applications is rapidly changing. Significant advances in mobile processing power, edge computing, and machine learning are paving the way for the widespread use of image recognition in many IoT applications. For example, omnipresent mobile devices (which are a key components in many IoT applications) equipped with high-resolution cameras facilitate the generation of images and videos by everyone, everywhere.
Moreover, intelligent video cameras, such as IP cameras and Raspberry Pis with cameras, are used in many places, such as smart homes, campuses, and factories, for different applications. Many IoT applications—including smart cities, smart homes, smart health, smart education, smart factories, and smart agriculture—make decisions using image recognition/classification. As shown in the...
