KSRCT-IoT

Thursday 8 September 2016

IOT CONTROLLED ACCIDENTAL TREATMENT-SMART AMBULANCE

Team members:
GOKULRAJA V

GOKILAVANI S

VISION:
      Our vision towards the project is that we are going to save the person who are met with accidents. After a person is met with an accident, they will be carried to the hospital through the ambulance. However, many of the peoples die within an ambulance because of the improper and unknown treatments and also there won’t be proper availability of specialists in case of emergency. So it is important to save the precious human life. For this here we are proud of introducing an IOT controlled accidental treatment in which the sensors are going to detect the person’s physical conditions and inform hospital emergency department  also the specialists to get ready for the treatment  as soon as an smart-ambulance arrived. We are going to use multiple sensors to identify the condition of the person who had met with an accident. There was some physical sensor to monitor the person.

*    Temperature sensor: To identify the body temperature of a person. Since it goes high it may cause high Risk.

*    ECG monitor sensor: To monitor the ECG rate of the person. In case of urgency the instructions should be given to the ambulance clinicians.

*    Blood group analyse sensor: We can analyse a blood group and when there a is a loss of blood we can intimate the hospital teams and blood banks about the need of particular group of blood. And also we can test the blood samples through image processing technique.

*    CMS50FW sensor: finger pulse oximeter, monitoring heart rate and blood oxygen saturation process will be carried by this sensor.

*    RESpeck respiratory rate sensor: To check for the breathing rate for the person and to monitor them with respective oxygen supply.

*    Location sensor: Patients must also be moved to a location where they can receive definitive treatment for their illness and/or injury. However, it may take more than one journey and there may be intercurrent treatment at more than one site before definitive care is reached. It locates for the hospitals and traffics in the area.

PROCESS:  
 The sensor data were sent to the IBM IOT Bluemix where the data can be processed and the required output is obtained. After the sensor data were collected, it generates an output by matching with the condition already uploaded in the IOT cloud platform. According to those they send messages or alerts to the hospital emergency management, specialists and blood banks. The entire management and up-date details of the affected person is obtained and processed.



DASHBOARD:


PROS:
o   The quick transfer of data.
o   The pre-prepared medical solutions.
o   Best treatment method in case of emergency.
o   First aid procedures can be replied by the doctor and can be clinicians.

o   It will save a lot of human life.

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