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ATTENDANCE MANAGEMENT SYSTEM

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ATTENDANCE MANAGEMENT SYSTEM

ORDINARY APPLICATION

Published

date

Filed on 8 November 2024

Abstract

ABSTRACT An attendance management system (100) comprising an image capturing device (102) configured to capture images or video frames of individuals, a facial recognition interface (104) configured within the image capturing device (102) to identify and segment facial regions of interest (ROI) within the captured images or video frames, a feature extraction module (106) configured within the image capturing device (102) to extract features from the facial ROI and at least one processor (108). The at least one processor (108) is configured to implement adaptive histogram equalization on the extracted features from the facial ROI, compare the extracted features from the facial ROI with one or more template features and record attendance based at least on the facial ROI matching with one or more template features.

Patent Information

Application ID202411085960
Invention FieldCOMPUTER SCIENCE
Date of Application08/11/2024
Publication Number47/2024

Inventors

NameAddressCountryNationality
R. AYUSHLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
POTTUMURTI GOKULLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
HARSHVINDER SINGHLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
TEJINDER THINDLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia

Applicants

NameAddressCountryNationality
LOVELY PROFESSIONAL UNIVERSITYJALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of management system and in particular relates to an attendance management system.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] The need for efficient and accurate attendance management in educational institutions is becoming increasingly significant as traditional attendance systems, which rely on manual roll calls or physical sign-ins, are time-consuming, prone to human error, and can be easily manipulated. These conventional metho , Claims:1. An attendance management system (100), comprising:
an image capturing device (102) configured to capture images or video frames of individuals;
a facial recognition interface (104) configured within the image capturing device (102) to identify and segment facial regions of interest (ROI) within the captured images or video frames;
a feature extraction module (106) configured within the image capturing device (102) to extract features from the facial ROI; and
at least one processor (108) coupled to the image capturing device (102), wherein the at least one processor (108) is configured to:
implement adaptive histogram equalization on the extracted features from the facial ROI;
compare the extracted features from the facial ROI with one or more template features; and
record attendance based at least on the facial ROI matching with one or more template features.
2. The attendance management system (100) as claimed in claim 1, wherein the at least one processor (108) is configured to flag for repeated si

Documents

NameDate
202411085960-COMPLETE SPECIFICATION [08-11-2024(online)].pdf08/11/2024
202411085960-DECLARATION OF INVENTORSHIP (FORM 5) [08-11-2024(online)].pdf08/11/2024
202411085960-DRAWINGS [08-11-2024(online)].pdf08/11/2024
202411085960-FIGURE OF ABSTRACT [08-11-2024(online)].pdf08/11/2024
202411085960-FORM 1 [08-11-2024(online)].pdf08/11/2024
202411085960-FORM-9 [08-11-2024(online)].pdf08/11/2024
202411085960-POWER OF AUTHORITY [08-11-2024(online)].pdf08/11/2024
202411085960-PROOF OF RIGHT [08-11-2024(online)].pdf08/11/2024
202411085960-REQUEST FOR EARLY PUBLICATION(FORM-9) [08-11-2024(online)].pdf08/11/2024

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