Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/19408
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dc.contributor.authorSuliman, ALFateh Abdulhadi Abdulwahid-
dc.contributor.authorBakhit, Munzir FathAlRahman Hassan-
dc.contributor.authorElamir, Taha Elamir Hamed-
dc.contributor.authorAlmahdi, Zeinab Mohammed Ahmed-
dc.contributor.authorSupervisor-, Ala Eldin Abdullah Awouda-
dc.date.accessioned2017-12-14T13:29:02Z-
dc.date.available2017-12-14T13:29:02Z-
dc.date.issued2017-10-01-
dc.identifier.citationSuliman, ALFateh Abdulhadi Abdulwahid.Design of Face Recognition and Tracking system/ALFateh Abdulhadi Abdulwahid Suliman...{etal};Ala Eldin Abdullah Awouda.-Khartoum : Sudan University of Science and Technology, College of Engineering,2017.-103p. :ill;28cm.- Bachelors search.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/19408-
dc.descriptionBachelors searchen_US
dc.description.abstractAn application for face recognition and tracking system on video streams from surveillance cameras in public or commercial places is discussed in this thesis. Human surveillance through the fixed camera is useless and not suitable for security , to resolve this problem was suggested design face recognition and tracking system associated with database to track and monitor user face to improve security method and reduce security errors and facilitate monitoring. This research is divided to two parts: software implementation use matlab to capture the image from webcam and in hardware implementation webcam moves with the direction of the facial movement detected by servo motor. A successful simulation as well. The problem that is encountered is after start of tracking code after recognition, any face inside the video is trackeden_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectFace Recognition and Tracking systemen_US
dc.subjectFace Recognitionen_US
dc.subjectDesign of Face Recognition and Tracking systemen_US
dc.titleDesign of Face Recognition and Tracking systemen_US
dc.typeThesisen_US
Appears in Collections:Bachelor of Engineering

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