IoT Based Accident Detection And Tracking System With Telegram and SMS Notifications

The most important factor influencing the percentage of deaths due to road accident injuries is the time between the occurrence of the accident and the arrival of emergency responders at the scene of the accident. Kolej Komuniti Selandar (KKSL) received the report on the frequency of non-residence s...

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Bibliographic Details
Published in2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) Vol. 6; pp. 1 - 5
Main Authors Razali, Sharifah Nadiyah, Fariza Abu Samah, Khyrina Airin, Ahmad, Mohd Hafiez, Riza, Lala Septem
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2021
Subjects
accident detection and tracking system
GSM
IFTTT
Internet of Things
Law enforcement
Motorcycles
Node MCU
Protocols
Real-time systems
Road accidents
Technological innovation
telegram notification
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Summary:The most important factor influencing the percentage of deaths due to road accident injuries is the time between the occurrence of the accident and the arrival of emergency responders at the scene of the accident. Kolej Komuniti Selandar (KKSL) received the report on the frequency of non-residence students involved in accidents outside working hours. It will only be reported to the KKSL if their friends or family reports them. Thus, an innovative Accident Detection and Tracking System (AD-Tracksys) is proposed using the Internet of Things approach to overcome the problem. AD-Tracksys works to track the location of an accident and notify a designated individual in the event of an accident. Existing products use GSM for location tracking and notification purposes. However, it cannot detect the location and provide notifications in real-time, sending messages through SMS. Therefore, implementing node MCU, GSM, and IFTTT protocol in AD-Tracksys allows the system to detect an accident and send notifications in real-time via Telegram or SMS. We tested the system using three test cases, and as a result, we managed to prove the study's success. In the future, this system can be enhanced by adding alert functions of assistance services such as clinics, police stations and fire stations.
DOI:10.1109/ICRAIE52900.2021.9703970