International Journal Of Engineering Technology And Management Sciences

AUTHOR(S)

Ashwini M., Bindu K.R., Divya K.K., Aishwarya C.,Dr. Sindhu Sree M., Dr. Pavithra G., Dr. T.C.Manjunath, Aditya T.G., Sandeep K.V., Rajashekar M. Koyyeda,Dr. Suhasini V.K., Dr. Vijayakumar K.N.

DOI: https://doi.org/10.46647/ijetms.2023.v07i01.045

ABSTRACT
This paper involves the review of papers related to an efficient ambulance management system in this project report we will be going through research papers related to similar topics and find information to improve the process of making an ambulance intelligent. India’s population is increasing as each day is passing. The increase in population puts a lot of strain and management of resources from medical, government services and many more. The strain on the resources results in citizens not getting proper help in the time of need. The main example of this process is ambulance management system which is the first line of help process in time of need. If a patient or a victim does not get an ambulance in time then the patient’s life is surely at risk. So there needs to be proper mechanism to handle this important resource and help patients in time. Latest technologies such as cloud computing, IoT, AI, ML and mobile computing can be used to improve the ambulance management and emergency help services. . Ambulance service is one of the crucial services that gets delayed. Sometimes on-sight doctors are not available, so the patient does not get medical attention immediately. In health monitoring system, the patient's vital health parameters such as ECG, Heart Rate and Body Temperature are monitored. These parameters are sent the hospital server using IoT and cloud technology. In the current era of technology, Artificial Intelligence (AI) is playing a vital role in the health care sector especially cardiac disease detection which is a major cause of sudden death. The work given here is a mini-project that is taken up as a part of the curriculum completed by electronics and communication engineering students in the second year of the electronics & communication engineering department at Dayananda Sagar College of Engineering in Bangalore.

Page No: 304 - 308

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How to Cite This Article:
Ashwini M., Bindu K.R., Divya K.K., Aishwarya C.,Dr. Sindhu Sree M., Dr. Pavithra G., Dr. T.C.Manjunath, Aditya T.G., Sandeep K.V., Rajashekar M. Koyyeda,Dr. Suhasini V.K., Dr. Vijayakumar K.N. . Intelligent Ambulance – AI and Human Interface Technology . ijetms;7(1):304-308. DOI: 10.46647/ijetms.2023.v07i01.045