Artificial Intelligence Smart Mirror withRaspberryPiBased on Object Detection, HumanActivityRecognition, and Emotion Detection

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dc.contributor.advisorDr. Riasat Khan
dc.contributor.authorMst. Ayesha Siddika
dc.contributor.authorAminul Islam Joy
dc.contributor.authorMd Salekur Rahaman
dc.contributor.authorAnia Chowdhury
dc.contributor.id1712935042
dc.contributor.id1711867642
dc.contributor.id1713018042
dc.contributor.id1721495042
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025
dc.date.accessioned2025-07-16T05:23:21Z
dc.date.available2025-07-16T05:23:21Z
dc.date.issued2021
dc.description.abstractIn recent years, the smart home and advanced gadgets have been a common topic. Because of theories of powerful smart gadgets, the development of these fields is increasing. Smart mirrors area recent addition to the smart home family that has recently received much interest from people. In this work, we developed an artificial intelligence- based smart mirror to minimize people’s workload and make life easier. We build a smart mirror that includes artificial intelligence. This paper describes how we can use low-cost hardware like Raspberry Pi to make a smart home. Using some default modules, this mirror can display various features that we use daily, such a clock, live news, weather, and many more. It can not only detect its user but also can detect intruder and alert the house owner. Hence, it contributes to the house’s safety. Users canals control the magic mirror and update information on the Android application. It can also identify user’s emotion through his facial movement and it also provides 75%accuracy on emotion detection. This mirror also has the ability to detect some objects as well.
dc.description.degreeUndergraduate
dc.identifier.print-thesisTo be assigned
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1276
dc.language.isoen
dc.publisherNorth South University
dc.rights©NSU LIbrary
dc.titleArtificial Intelligence Smart Mirror withRaspberryPiBased on Object Detection, HumanActivityRecognition, and Emotion Detection
oaire.citation.endPage64
oaire.citation.startPage1
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