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Smart city article details
| Title | Implementation Of Smart Vehicle Accident Detection Using Raspberry Pi In Smart Cities |
|---|---|
| ID_Doc | 30593 |
| Authors | Satish Kumar D.; Samuel P.; Giriprasad C.; Vinoth Kumar K.; Patil V.; Gouda V.; Shiradoni B.; Khan P.M.D.M.; Selve V. |
| Year | 2022 |
| Published | 4th International Conference on Inventive Research in Computing Applications, ICIRCA 2022 - Proceedings |
| DOI | http://dx.doi.org/10.1109/ICIRCA54612.2022.9985762 |
| Abstract | This article shows that when an accident occurs, the time it takes for an emergency medical facility to be established and put into operation has a significant influence on the survival of the victim. Reducing accident scene time is considered by medical professionals to reduce mortality. Emergency responders can be alerted to disasters using the Raspberry Pi-based accident identification system. This helps to shorten response times. The vibration sensor detects the error and then sends the prepared message to the right person. It is important to know what happened and who was involved in an accident in order to send appropriate information to emergency responders. It is possible to get precise latitude and longitude positions for satellites if GPS is first used in this way. In order for the GSM device to start tracking the vehicle, need to send a message to it. The Raspberry Pi controller's vibration sensor can also be used to identify faults. © 2022 IEEE. |
| Author Keywords | Accident; Internet of Things; Responder |
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