Health monitoring plays a vital role to overcome the health issues of the patients. According to research, approximately 2000 people die due to carelessness of monitoring their health. Wearable monitoring systems record the activities of daily life. A 24-hour wearable monitoring system was developed and changes were identified. This project is designed for helping the soldiers to maintain their health conditions and to identify their health issues at war's end. Different health parameters are monitored using sensors, and the data are transmitted through GSM to the receiver, and the received data are analyzed using convolutional neural networks, which is performed in cloud IoT. If any abnormalities are found during the analyzing process, the message is sent to military personnel and the doctor at the camp so that they could take necessary actions to recover the ill soldier from the war field and provide emergency assistance on time. The location of the soldier is also shared using the input from GPS modem in the smart jacket.
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A well-maintained defense system has been set up in our country to protect the country from the external invasion and the internal disturbances. The three pillars of defense system are Army, Navy and Air force. Indian army is the land-based unit, while Indian Airforce deals in air defense and the Indian Navy is the naval unit. In world, our Indian army is the second largest with about 1.23 million personnel on active rolls and another 9.6 lakhs in reserves. The main responsibility of Indian army is to protect the country against land-based attacks. It also joins hands with other agencies in dealing with terrorism, tackling emergencies in the country and also rescuing people in case of natural calamities like floods, earthquake, etc.
In today’s word, science and technology are growing rapidly with new inventions, innovations and with advance level of their implementations. These immerging advance technologies are firmly adopted by defense services to provide some safety systems to our soldiers. There are many parameters by which defense services can provide safety to the soldiers. The nation’s security is monitored and kept by the army, navy, and air-force. Indian soldiers sacrifice their lives for their country. There are many concerns regarding the safety of the soldier. Due to lack of connectivity, Soldiers entering the enemy lines often lose their lives, it is very important for the army base station to known the location as well as the health status of all soldiers. A leak of proper health backup and connectivity between the soldiers on the war-fields and the officials at the army base stations, many soldiers lost in war fields. All must be concerned about the safety of the soldiers, so decided to build a project which will efficiently keep a check on the health status of the soldier, and his precise location to equip him with necessary medical treatments as soon as possible. A soldier’s tracking is done by using GPS and Wi-Fi module, which is used to provide a wireless communication system. IoT based healthcare project help the people to check their historical health data. Here, the monitoring various parameters of the patient will be done using the Internet of Things. Theperiod parameters of the patient’s health are sent to cloud exploitation net property. And these parameters were sent to a remote internet location so that the user can view the details from anywhere in the world (Rejab, Nouira & Trabelsi, 2012). In IoT based systems, the details of patient health can be seen by many users. The IoT patient monitoring system has three sensors; temperature sensor, heartbeat sensor, and humidity sensor. This project is very useful since the doctor can monitor the patient just by visiting the website or URL. The Arduino UNO board continuously reads the input from the above sensors. Then it sends these data to the cloud by sending it to a particular URL/IP address.
In (Amor & James, 2015), structural health monitoring, physical or mathematical model are useful for analysis, thus in real-time applications, some type of nonlinearities was performed that lead to expensive model. In this case, the Convolution Neural Networks (CNN) has become popular in real-world applications as it uses the concept of deep learning (Xna & Lee, 2013). CNN is used in areas such as computer vision, speech recognition, biomedical system, and language processing. A a wearable monitoring system records the activities of daily life. A twenty-four-hour a wearable and ambient monitoring system was developed and the opportunities and changes were identified (Shhelhamer, Long & Darrell, 2017). The sensing nodes and a wireless device were replaced to implement the object detection system, visual object identification and tracking along with the exclusive of thousands of meters of electric cable were developed using a wireless sensing network. In the field of healthcare monitoring operation and home security approaches the potential of object detection is done by using the camera-based network, hence by using a camera as a sensing element. Most of the health care systems were based on the Electronic Medical Record (EMR) which gives the collection of longitudinal data according to patient health. It significantly increases the clinical data and impact discovering new disease patterns and also provides personalized patient care by processing quantities of data automatically. It is becoming challenge.