# Smart IoMT Framework for Supporting UAV Systems with AI
## 3 Architecture of the System
We propose in this work a way for monitoring life disasters to ensure safety at an early stage by collecting and sending health information of people who have contacted a medical UAV for a health checkup. The following summarizes the aim of the proposed system as shown in Figure 2:  
AutoML is believed to be about algorithm choice, hyperparameter tweaking, modeling iteratively, and model assessment. It aims to simplify machine learning operations by using less code and avoiding human intervention in parameter selection. The key innovation of AutoML is the hyperparameters search technique, which is used for preprocessing elements, choosing model types, and improving their hyperparameters. There are many  
Figure 1: Domain model of the health monitoring system. Figure 2: UAV based futuristic patient monitoring and support systems. different types of optimization algorithms, ranging from Bayesian and genetic algorithms to grid and random search. The cloud Security Command center is a part of the AutoML to protect the data being sent to and from the the UAV for processing. This ensures that there is no data leak in the system and avoids intrusions. The IoT Edge is where devices and sensors shown in Figure 3 communicate to a network to provide real-time data. Since data are handled and processed near its place of origin using IoT edge computing, latency problems with the cloud are resolved. IoT Edge design also improves security and user experience while reducing latency. IoT Edge may be used to analyze vast volumes of data almost instantly over a high-throughput network, such as 5G, giving the user a more complete and immersive experience. An IoT application and the devices it administers can communicate with one another in both directions using the Platform-as-a-Services (PaaS) known as IoT Hub that is hosted in the UAV. IoT Core is designed to be flexible as a managed service to securely connect, manage, and ingest data from vast fleets of connected devices. It offers simple identity provisioning, allowing devices to read the majority of the data, scalability, performance, and interoperability, and support for the majority of industry-standard IoT protocols. The IoT core is implemented in the data collection stage, whereas the IoT hub is in the data transmission stage; similarly, the IoT Edge, AutoML, and the security command center are part of the data processing stage as seen in Figure 4.  
To begin collecting health data from an active body, the proposed health monitoring system is connected to the system of the Unmanned Aerial Vehicle since most of the components can be repurposed in the UAV navigation as well. The sensors mentioned earlier are coupled into the system in this study to collect critical health and emergency information. A gateway is also created to gather, store, and transmit data through a NodeMCU microcontroller to the UAV. The design system can transmit acquired data via unmanned aerial vehicles (UAVs) even at hilly or island places where communication is at risk. The data transmission is examined by joining two or three unmanned units in this study with the inbuilt health monitoring system. Given the time and cost of the investigation, the UAVs are initially organized within the cell structure data relay in cellular communication. Each cell is in the shape of a triangle where the edges represent the UAVs that relay data to the base station in the center. Irrespective of their range of data collection, these UAVs can store the healthcare data in their in-board storage systems and relay it at the network availability zone. In the future, the delivery range and response time can be significantly increased by adding more UAVs. The central base station in every cellular structure has to gather the sent data and notify the application system for emergency data alerting. When data obtained via a sensor exceed the permitted range after the user's normal health index is saved in a database, an alarm is generated.