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dc.contributor.advisorChakrabarty, Amitabha
dc.contributor.authorIslam, Shihabul
dc.contributor.authorHalim, S M Shafiul
dc.contributor.authorAdor, Sadman Sakib
dc.date.accessioned2018-05-21T03:51:13Z
dc.date.available2018-05-21T03:51:13Z
dc.date.copyright2018
dc.date.issued2018-04
dc.identifier.otherID 14201058
dc.identifier.otherID 13101191
dc.identifier.otherID 13101134
dc.identifier.urihttp://hdl.handle.net/10361/10172
dc.descriptionThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 36-37).
dc.description.abstractSecurity issue is one of the very leading concerns for any organization, society or for a city. There are two main challenges for smart cities which are security and privacy. Security includes illegal access of people entering the city and causing any kind of physical or nonphysical disruptions. In present days citizens are more concern about their activities of outside and inside of their house. So giving security and instant response in emergency is a big challenge. After some years it will become a very big issue to give security for this big amount of population. If we think about present and ask you do you ever think how safe is your city? If any kind of incident happens, what will be our steps for detecting criminals? How to protect you city from crimes? Here comes another important factor that is security and when it comes to find criminals, if the automation system is applied successfully in the area, it can help us to narrow down and find the criminals within very short time. Our objective is to provide a security solution to a city which can reduce crime and is also an effective way to identify criminals. We will be using fingerprint scanners and face recognition system to keep track of people. And for vehicle tracking we will use image processing system. We will automatically capture the entire vehicle photo and identify its number plate. And lastly we will match it with our database so that we can keep trace that who is the owner of the car and when the car enter and when it go out. This will also help to easily identify criminals and narrow down the range of suspects for crime scenes.en_US
dc.description.statementofresponsibilityShihabul Islam
dc.description.statementofresponsibilityS M Shafiul Halim
dc.description.statementofresponsibilitySadman Sakib Ador
dc.format.extent37 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectSecurityen_US
dc.subjectSmart citiesen_US
dc.subjectSecurity solutionen_US
dc.titleSmart city security solutionen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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