Publication:
Smart Accident Notification and Tracker (SANAT)

cris.author.scopus-author-id 57219411835
cris.author.scopus-author-id 36665886500
cris.author.scopus-author-id 57219422286
cris.author.scopus-author-id 57219422864
cris.author.scopus-author-id 57193949278
cris.author.scopus-author-id 57215416897
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department 3d6c9e61-34df-4e8f-be81-ab0733843dbc
dc.contributor.author Mohd Saufi N.
dc.contributor.author Ahmad N.
dc.contributor.author Mohd Sobri N.
dc.contributor.author Nabilla Risal N.
dc.contributor.author Helmy Abd Wahab M.
dc.contributor.author Syed Zulkarnain Syed Idrus
dc.date.accessioned 2024-10-01T01:57:24Z
dc.date.available 2024-10-01T01:57:24Z
dc.date.issued 2020-09-21
dc.description.abstract Road accident is a major concern in automobile powered world and road safety. Most of the accidents are not attended or treated quickly due to the lack of best emergency facilities and late information of the accident to rescue team especially in rural area. This paper aims to design Smart Accident Notification and Tracker (SANAT) by using Arduino Uno as a microcontroller with Global Positioning System (GPS) via Global System for Mobile communication (GSM) technology. This system detects an accident immediately after an impact sense by shock sensor and notified the emergency contact list as well as the rescue team with the precise location of the accident covering geographical coordinates in which a vehicle accident had occurred obtain from the GPS module after the shock sensor receive an impact from the accident. Signal from the sensor would be send to microcontroller and compares with the threshold set value and immediately sends an alert message using GSM modem to the first aid centre as a receiver. The receiver would receive the location in a link that could directly view the location and start navigate through Google Maps. This system would provide an optimum alert that could help reducing the loss of life due to vehicle accident.
dc.identifier.doi 10.1088/1757-899X/917/1/012054
dc.identifier.uri https://iopscience.iop.org/article/10.1088/1757-899X/917/1/012054/pdf
dc.identifier.uri https://iopscience.iop.org/article/10.1088/1757-899X/917/1/012054
dc.language.iso en
dc.relation.grantno undefined
dc.relation.ispartof IOP Conference Series: Materials Science and Engineering
dc.relation.ispartofseries IOP Conference Series: Materials Science and Engineering
dc.relation.issn 17578981
dc.rights open access
dc.title Smart Accident Notification and Tracker (SANAT)
dc.type Conference Proceeding
dspace.entity.type Publication
oaire.citation.endPage 8
oaire.citation.issue 1
oaire.citation.startPage 1
oaire.citation.volume 917
oairecerif.affiliation.orgunit Universiti Tun Hussein Onn Malaysia
oairecerif.affiliation.orgunit Universiti Tun Hussein Onn Malaysia
oairecerif.affiliation.orgunit Universiti Tun Hussein Onn Malaysia
oairecerif.affiliation.orgunit Universiti Tun Hussein Onn Malaysia
oairecerif.affiliation.orgunit Universiti Tun Hussein Onn Malaysia
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Tun Hussein Onn Malaysia
oairecerif.author.affiliation Universiti Tun Hussein Onn Malaysia
oairecerif.author.affiliation Universiti Tun Hussein Onn Malaysia
oairecerif.author.affiliation Universiti Tun Hussein Onn Malaysia
oairecerif.author.affiliation Universiti Tun Hussein Onn Malaysia
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.citation.number 012054
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person.identifier.scopus-author-id 57219411835
person.identifier.scopus-author-id 36665886500
person.identifier.scopus-author-id 57219422286
person.identifier.scopus-author-id 57219422864
person.identifier.scopus-author-id 57193949278
person.identifier.scopus-author-id 57215416897
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