Towards smart ehealth in the ultra large-scale Internet of Things era

Recent research endeavors are capitalizing on the real-time facial disorders detection (RFDD) to utilize available public cameras installed at hospitals' entrances and smart-city streets. These cameras can take images of the infected faces and process it over the free WiFi services which are available everywhere in the Internet of Things (IoT) era. Identifying facial disorders is often subjective and currently done by expert dermatologists. However, with the advances in the IoT enabling technologies and image processing techniques, it is now possible to quantify facial skin disorders using digital photographs in real-time applications. In this paper, we propose a novel real-time approach for abnormal facial regions detection and segmentation over the IoT paradigm.