# Exploitation of Emerging Technologies and Advanced Networks for a Smart Healthcare System
## 5 System Architecture
In the cloud, a server that runs a data analysis algorithm, checks if the measured temperature of each camera is above a determined threshold. Afterwards, if it is detected a temperature over this specific threshold, a notification signal appears in the monitoring system. Air condition-quality sensors detect for a high rate of air pollution in the area's atmosphere. The detection data send via the wireless network to the cloud server. In the cloud server, an AI-based algorithm can detect and inform about the condition of the area monitored. This ML algorithm manages and controls the data shared from the WSN (both cameras and air sensors) and after a number of computations and rounds, it is able to export automated conclusions about whether an area is at risk or not. Thus, depending on the data shared from the WSN, it will notify the local surveillance and control personnel. The aim of the ML algorithm is to be in charge in order to detect without necessarily the supervision of a person and subsequently to notify correctly about the detection that it found. Moreover, the cameras of the system can record 3D video resolution, and export visualized medical results as 3D models. This system utilizing VR, AR, and MR technologies gives the opportunity to the medical staff to access volumetric data in a 3D environment. Thus, medical professionals can have an effective tool that visualize humans' body and examine it in a 3D space. Enhancing VR, AR, and MR with TI offers an interactive solution for doctors to examine patient's body without coming in physical contact. This solution could be exceptionally suitable when patients suffer from infectious diseases, eliminating the possibility of spreading them. With the advancement of DL algorithms, it is feasible to analyze the 3D volumetric data in order to conclude in a precise diagnosis in a timely manner. Finally, the medical data can be analyzed by DNN through repeated model retraining. Compared to the conventional approach, this AI approach is capable to analyze in detail over a hundred million of BD. DNN offer about 100 times higher processing accuracy compared with the conventional approach. Thus, this technology revolutionizes the discovery of vaccines and antibiotics, allowing scientists to efficiently handle much more data with considerably better predictive accuracy. The proposed system architecture is depicted in Figure 9.  
Such a system could be established in various indoor buildings, such as hospitals and universities or outdoor places such as parks. This could become feasible due to the advanced wired and wireless networks that are expected to be launched soon. Specifically, 5G networks are considered as the next communication technology that will offer a great boost in many sectors, including the medical one. In cooperation with optical fiber, which is a recent technology with many benefits versus coaxial cables, the era of industry 4.0 and beyond is rapidly evolving. ML and DL techniques can support a DNN to offer powerful ways for developing accurate antibiotics against diseases and viruses. The timely and effective cure is the main aim of pharmaceutical companies. Hiring scientists from the field of informatics or collaborating with research centers, the pharmaceutical industry would be able to provide the most effective antibiotics or vaccines in time. The application of a shared virtual 3D display system amongst doctors and surgeons worldwide in combination with the haptic models, can lead to a more accurate treatment of the patients, without the physical presence of them in the operation room. The power of the 3D viewing and haptic interaction is unquestionable, and they are considered as emerging technologies that will be widely used in the medical industry. The advantages of interaction in a 3D environment and realistic visualization of the results that VR and AR technologies could provide will enhance the medical profession. These technologies are presently being extensively applied in certain sectors and especially in the industrial one.