NUST Institutions Library Catalogue catalog › Details for: TH-SOF-1766-Machine vision based Facial Recognition system with Database Management System for Gate Access Control and Attendance System

Normal view MARC view ISBD view

TH-SOF-1766-Machine vision based Facial Recognition system with Database Management System for Gate Access Control and Attendance System

TextPublisher: ISLAMABAD NUST COLLEGE OF EME 2020Subject(s): MS-MTS-16DDC classification: 200 THE

Tags from this library: No tags from this library for this title. Log in to add tags.

Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Computer Files	College of Electrical & Mechanical Engineering (CEME)	College of Electrical & Mechanical Engineering (CEME)	General Stacks	200 THE (Browse shelf)	Available		TH-SOF-1766

Total holds: 0

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	200 THE TH-SOF-1762-Reduced Order Sampled - Data Controller	200 THE TH-SOF-1763-A Novel Machine Learning (ML) Based Approach for Fault Classification in Photovoltaic (PV) Array	200 THE TH-SOF-1764-Improved Classification Accuracy of Four Class FNIRS-BCI	200 THE TH-SOF-1766-Machine vision based Facial Recognition system with Database Management System for Gate Access Control and Attendance System	200 THE TH-SOF-1767-Design of MEMS Based Universal Testing Machine for Thin Film Characterization	200 THE TH-SOF-1769-Classification of Indoor vs Outdoor induction labour success	200 THE TH-SOF-1770-WIND SPEED ESTIMATION USING ARTIFICIAL NEURAL NETWORKS	Next

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer