SINCE 2004

  • 0

      0 Item in Bag


      Your Shopping bag is empty

      CHECKOUT
  • Notice

    • ALL COMPUTER, ELECTRONICS AND MECHANICAL COURSES AVAILABLE…. PROJECT GUIDANCE SINCE 2004. FOR FURTHER DETAILS CALL 9443117328

    Projects > ELECTRONICS > 2019 > NON IEEE > EMBEDDED SYSTEMS

    ADVANCED IoT BASED COMBINED REMOTE HEALTH MONITORING, HOME AUTOMATION AND ALARM SYSTEM


    Abstract

    Nowadays, automation and Internet of Things are changing the world. The day-by-day development of the Internet of Things causes a revolution in modern technology, which makes our life easier and automated. Due to a busy schedule and irregular lifestyle, health hazard is not an age-dependent factor in the recent era. Under these circumstances, Internet of Things has provided a much easier solution for remote real-time health monitoring of patients from the hospital as well as home. Sensors acquire the data of various parameters regarding patient’s health, and the Internet of Things stores that data and displays through the website, which provides access for remote monitoring. Use of Sensor reduces the human error, and the size of the system reduces the occupied space of the room. The unique part of this proposed solution is the alarm generation to provide the prescribed medicine to the patient in time. The other beneficial area of the system is the scheme of sending the notification through email and SMS alert if any of the health parameters crosses the threshold value. Notification scheme will keep the respective authority conscious of the situation. Another significant area of the proposed solution is to create the optimum surroundings as per the requirement of patient’s health condition. In this paper, we have discussed the monitoring of heart rate, blood pressure, respiration rate, body temperature, body movement and saline levels.


    Existing System

    RFID tags, GSM System.


    Proposed System

    In this proposed system, patient’s heart rate, blood pressure, respiration rate, body temperature, body movement and saline levels are measured. Raspberry Pi collects the health data of the patients from the sensors and stores in the cloud and it is displayed on the website. For the security and safety issues, a role-based user authentication system is also available in the system to access the information. Also, the Raspberry Pi automatically controls the appliances according to the health condition of the patient.


    Architecture


    BLOCK DIAGRAM


    FOR MORE INFORMATION CLICK HERE