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The Equine vision model: Sensing & data acquisition

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dc.contributor.author Parker, Eugene Nii Sackey
dc.date.accessioned 2021-03-19T12:21:19Z
dc.date.available 2021-03-19T12:21:19Z
dc.date.issued 2020-05
dc.identifier.uri http://hdl.handle.net/20.500.11988/632
dc.description Applied project submitted to the Department of Computer Science and Information Systems, Ashesi University, in partial fulfillment of Bachelor of Science degree in Management Information Systems, May 2020 en_US
dc.description.abstract Over the decades, crime rate has exponentially increased in major countries due to factors such as unemployment, economic hardship, greed and gang retaliation. Every year, 1 in 5 people are affected by crime, which is equivalent to 10 million people. Also, 1 in 10 children has been victims of crime in the last year which caused severe depression and Post-traumatic stress disorder in our youth today. Furthermore, the metrics used in measuring crime rate tend to be inaccurate due to the number of underreporting cases. This, therefore, places risk on countries who believe their security infrastructure to be mostly efficient and effective. In Africa today, the current rise in private security firms and security innovations have become commonly known and preferred by residents after a major backlash against the police services. However, the cost of most security services and systems put low-earned income residents at a disadvantage which increases their risk of experiencing burglary attacks. Though some systems may be affordable, the connecting link that helps these firms capture user experience is not formed or is ignored which results in poor feedback channels. In this applied project, I designed and implemented a cost-effective security model that broadens the ecosystem of security for residents living in an African country, as well as evaluate some underlying assumptions relating to security in Africa. en_US
dc.description.sponsorship Ashesi University en_US
dc.language.iso en en_US
dc.subject home burglary en_US
dc.subject security technology en_US
dc.subject Internet of Things (IoT) en_US
dc.subject mobile application en_US
dc.subject robotic monitoring kit en_US
dc.title The Equine vision model: Sensing & data acquisition en_US
dc.type Applied project en_US


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