Govardhan R, Jagadeesh V Ranagatti, Lakshminath S M, Linganand Sangamad, Nagaraja J
{"title":"面向紧急医疗服务的智能物联网事故检测系统","authors":"Govardhan R, Jagadeesh V Ranagatti, Lakshminath S M, Linganand Sangamad, Nagaraja J","doi":"10.1109/CCIP57447.2022.10058635","DOIUrl":null,"url":null,"abstract":"Road accidents in the country continue to be a leading cause of death, disabilities and hospitalization despite our commitment and efforts. Road accidents happen at unexpected moments and thus cannot be anticipated. Lives are lost as a result of the inability to provide medical assistance on time. A small delay in notifying the concerned authorities can result in delayed medical help, which in turn results in loss of life. Hence, there must be a proper system that notifies nearby health centers as soon as an accident is detected. We aim to develop such a system which has the potential to so many lives. The solution which is proposed in this paper involves collision sensors to detect when an accident occurs, and then immediately alerting the emergency center. When an automobile meets with an accident, the microcontroller detects the collision with the help of sensors and immediately sends a voice message to the emergency center. This message contains GPS coordinates and timestamp of the accident. A camera module, which captures images periodically immediately after the accident, will be placed in the automobile. These images captured are then sent to the emergency center. These can be used to assess the severity of the accident and decide the best course of action.","PeriodicalId":309964,"journal":{"name":"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Intelligent IoT Accident Detection System For Emergency Medical Services\",\"authors\":\"Govardhan R, Jagadeesh V Ranagatti, Lakshminath S M, Linganand Sangamad, Nagaraja J\",\"doi\":\"10.1109/CCIP57447.2022.10058635\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Road accidents in the country continue to be a leading cause of death, disabilities and hospitalization despite our commitment and efforts. Road accidents happen at unexpected moments and thus cannot be anticipated. Lives are lost as a result of the inability to provide medical assistance on time. A small delay in notifying the concerned authorities can result in delayed medical help, which in turn results in loss of life. Hence, there must be a proper system that notifies nearby health centers as soon as an accident is detected. We aim to develop such a system which has the potential to so many lives. The solution which is proposed in this paper involves collision sensors to detect when an accident occurs, and then immediately alerting the emergency center. When an automobile meets with an accident, the microcontroller detects the collision with the help of sensors and immediately sends a voice message to the emergency center. This message contains GPS coordinates and timestamp of the accident. A camera module, which captures images periodically immediately after the accident, will be placed in the automobile. These images captured are then sent to the emergency center. These can be used to assess the severity of the accident and decide the best course of action.\",\"PeriodicalId\":309964,\"journal\":{\"name\":\"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCIP57447.2022.10058635\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIP57447.2022.10058635","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Intelligent IoT Accident Detection System For Emergency Medical Services
Road accidents in the country continue to be a leading cause of death, disabilities and hospitalization despite our commitment and efforts. Road accidents happen at unexpected moments and thus cannot be anticipated. Lives are lost as a result of the inability to provide medical assistance on time. A small delay in notifying the concerned authorities can result in delayed medical help, which in turn results in loss of life. Hence, there must be a proper system that notifies nearby health centers as soon as an accident is detected. We aim to develop such a system which has the potential to so many lives. The solution which is proposed in this paper involves collision sensors to detect when an accident occurs, and then immediately alerting the emergency center. When an automobile meets with an accident, the microcontroller detects the collision with the help of sensors and immediately sends a voice message to the emergency center. This message contains GPS coordinates and timestamp of the accident. A camera module, which captures images periodically immediately after the accident, will be placed in the automobile. These images captured are then sent to the emergency center. These can be used to assess the severity of the accident and decide the best course of action.