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Title: :  Accident Detection Using Raspberry Pi In Python
PaperId: :  19492
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19492
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Neha Atul KanadeAnantrao Pawar College Of Engineering & Research. Pune
Aditya Ankush GanganeAnantrao Pawar College Of Engineering & Research. Pune
Kailash Shrirang GhumareAnantrao Pawar College Of Engineering & Research. Pune
Neha Ganesh KiradAnantrao Pawar College Of Engineering & Research. Pune
Prof. R. S. Lavhe.Anantrao Pawar College Of Engineering & Research. Pune

Abstract

Information Technology
Accident alert, CO sensor, GSM, GPS, LCD, Limit switch, Raspberry pi, Vibration Sensor
One of the primary causes of fatalities is traffic accidents. The amount of time between the accident and the arrival of an emergency medical institution at the scene is a key element in the post-accident survival rates. By shortening the distance between the accident and the arrival of a medical institution, death rates are reduced. In order to save more lives. Using Accident Detection Using Raspberry Pi, which alerts if the accident happened and promptly notifies the emergency personnel, is one way to end that wait. The system is detailed, with its primary use being to identify accidents using vibration sensors and send alarm messages to the appropriate locations. The location of the collision, the amount of alcohol consumed, the seat belt use, the speed, and the number of passengers are all included in the alert message. The latitude and longitude data are first stored in this system by GPS, which continually receives input from the satellite[1]. We must transmit the message to a GSM device so that it receives it in order to track the car.. Also, it is triggered by the raspberry pi controller's vibration sensor picking up an accident. When the GSM is turned on, it gets the most recent positional data (latitude and longitude) and sends a message to the program's specified emergency server.

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IJARIIE Neha Atul Kanade, Aditya Ankush Gangane, Kailash Shrirang Ghumare, Neha Ganesh Kirad, and Prof. R. S. Lavhe.. "Accident Detection Using Raspberry Pi In Python" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 949-952
MLA Neha Atul Kanade, Aditya Ankush Gangane, Kailash Shrirang Ghumare, Neha Ganesh Kirad, and Prof. R. S. Lavhe.. "Accident Detection Using Raspberry Pi In Python." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 949-952.
APA Neha Atul Kanade, Aditya Ankush Gangane, Kailash Shrirang Ghumare, Neha Ganesh Kirad, & Prof. R. S. Lavhe.. (2023). Accident Detection Using Raspberry Pi In Python. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 949-952.
Chicago Neha Atul Kanade, Aditya Ankush Gangane, Kailash Shrirang Ghumare, Neha Ganesh Kirad, and Prof. R. S. Lavhe.. "Accident Detection Using Raspberry Pi In Python." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 949-952.
Oxford Neha Atul Kanade, Aditya Ankush Gangane, Kailash Shrirang Ghumare, Neha Ganesh Kirad, and Prof. R. S. Lavhe.. 'Accident Detection Using Raspberry Pi In Python', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 949-952. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Accident_Detection_Using_Raspberry_Pi_In_Python_ijariie19492.pdf (Accessed : ).
Harvard Neha Atul Kanade, Aditya Ankush Gangane, Kailash Shrirang Ghumare, Neha Ganesh Kirad, and Prof. R. S. Lavhe.. (2023) 'Accident Detection Using Raspberry Pi In Python', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 949-952IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Accident_Detection_Using_Raspberry_Pi_In_Python_ijariie19492.pdf (Accessed : )
IEEE Neha Atul Kanade, Aditya Ankush Gangane, Kailash Shrirang Ghumare, Neha Ganesh Kirad, and Prof. R. S. Lavhe., "Accident Detection Using Raspberry Pi In Python," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 949-952, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Accident_Detection_Using_Raspberry_Pi_In_Python_ijariie19492.pdf [Accessed : ].
Turabian Neha Atul Kanade, Aditya Ankush Gangane, Kailash Shrirang Ghumare, Neha Ganesh Kirad, and Prof. R. S. Lavhe.. "Accident Detection Using Raspberry Pi In Python." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 ().
Vancouver Neha Atul Kanade, Aditya Ankush Gangane, Kailash Shrirang Ghumare, Neha Ganesh Kirad, and Prof. R. S. Lavhe.. Accident Detection Using Raspberry Pi In Python. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(2) : 949-952. Available from: https://ijariie.com/AdminUploadPdf/Accident_Detection_Using_Raspberry_Pi_In_Python_ijariie19492.pdf
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