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Inmates Tracking Based on Face and Visual Markers

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dc.contributor.author DRICI, ADEM
dc.contributor.author HAMIDOUCHE, SALAH
dc.date.accessioned 2024-09-17T10:35:51Z
dc.date.available 2024-09-17T10:35:51Z
dc.date.issued 2024-06
dc.identifier.issn MM/812
dc.identifier.uri https://dspace.univ-bba.dz:443/xmlui/handle/123456789/5377
dc.description.abstract Traditional prison identification methods, such as RFID, wristbands, and fingerprinting, have many defects and shortcomings. For this reason, we propose a new system that uses facial recognition and ArUco marker technologies, adapted to prisoner uniforms. Each prisoner is given a unique ArUco marker ID that enables accurate identification even if the face is obstructed. Our system will help track prisoners throughout the prison by placing cameras at strategic locations, entrances, corridors, and jail squares, ensuring constant surveillance and optimizing detection capability. This idea gives better security with improved efficiency and reliability and can completely revolutionize prison surveillance en_US
dc.language.iso en en_US
dc.publisher UNIVERSITY BBA en_US
dc.subject RFID,Tracking Visual Markers en_US
dc.title Inmates Tracking Based on Face and Visual Markers en_US
dc.type Thesis en_US


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