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Real-Time Visitor Tracking and Automated Attendance System using Facial Recognition

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dc.contributor.author Jibran Khan, 01-134172-079
dc.contributor.author Osama Adnan Malik, 01-134172-049
dc.date.accessioned 2021-04-11T07:02:42Z
dc.date.available 2021-04-11T07:02:42Z
dc.date.issued 2021
dc.identifier.uri http://hdl.handle.net/123456789/11145
dc.description Supervised by Ms.Maria Mahmood en_US
dc.description.abstract Real-Time Visitor Tracking and Automated Attendance System uses facial recognition to detect and recognize the user's identity and automatically mark their attendance and keep track of visitor's movement and number of entries within a facility. The ability to automatically recognize human faces based on dynamic facial images is important in security and surveillance. Security of facility is of utmost importance to any organization/institute in-order to ensure smooth operations and avoid any liability. The attendance of the employee is also vital and making the daily process easier will prove beneficial for the employees as well as the organization. This system will provide users with both facilities and more security feature to provide users with latest technology for security purposes en_US
dc.language.iso en en_US
dc.publisher Computer Sciences BUIC en_US
dc.relation.ispartofseries BS (CS);P-9096
dc.subject Real-Time Visitor Tracking en_US
dc.title Real-Time Visitor Tracking and Automated Attendance System using Facial Recognition en_US
dc.type Project Reports en_US


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