Design and implementation of a smart bike accident detection system

bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorIslam M.M.
dc.contributor.authorRidwan, A. E. M
dc.contributor.authorMary, Mekhala Mariam
dc.contributor.authorSiam, Md Fahim
dc.contributor.authorMumu, Sadia Anika
dc.contributor.authorRana, Shohag
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2026-09-02T04:18:28Z
dc.date.available2026-09-02T04:18:28Z
dc.date.issued2020-06-05
dc.description.abstractNowadays overpopulated countries like Bangladesh have become a warzone where thousands of people lose their lives and even more become handicapped due to road accidents. With the recent popularity of ride sharing apps like Pathao, Uber Moto, Shohoz etc. the number of bikes in Dhaka city has increased drastically. As bike accidents are becoming quite an alarming issue, we felt the need of an improved bike safety system. In this paper, we have proposed a system that detects bike accidents using MPU6050 (gyro sensor and accelerometer), SIM808 (GPS+GPRS+GSM), Raspberry Pi 3 Model B and Arduino Uno. We have placed the proposed system on the surface of the bike. If an accident occurs, the sensors will trigger and send a message containing the number and location of the biker to the nearest hospitals, police stations and registered family members.
dc.description.versionPublished
dc.format.extent386-389
dc.identifier.citationM. M. Islam, A. E. M. Ridwan, M. M. Mary, M. F. Siam, S. A. Mumu and S. Rana, "Design and Implementation of a Smart Bike Accident Detection System," 2020 IEEE Region 10 Symposium (TENSYMP), Dhaka, Bangladesh, 2020, pp. 386-389, doi: 10.1109/TENSYMP50017.2020.9230656.
dc.identifier.doi10.1109/TENSYMP50017.2020.9230656
dc.identifier.issn9781728173665
dc.identifier.other2-s2.0-85096422634
dc.identifier.urihttps://hdl.handle.net/10361/29678
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/TENSYMP50017.2020.9230656
dc.relation.ispartof2020 IEEE Region 10 Symposium Tensymp 2020
dc.relation.ispartofseries2020 IEEE Region 10 Symposium Tensymp 2020
dc.relation.urihttps://ieeexplore.ieee.org/document/9230656
dc.rightsfalse
dc.subjectArduino uno
dc.subjectGPS
dc.subjectMPU6050
dc.subjectRaspberry Pi 3 Model B
dc.subjectSIM808
dc.subject.lcshMachine learning.
dc.titleDesign and implementation of a smart bike accident detection system
dc.typeConference Proceeding
person.affiliation.nameUnited International University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.scopus-author-id57213419679
person.identifier.scopus-author-id57219986123
person.identifier.scopus-author-id57219986248
person.identifier.scopus-author-id57219986136
person.identifier.scopus-author-id57219986421
person.identifier.scopus-author-id57219985977

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