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FACIAL RECOGNITION-BASED ATTENDANCE SYSTEM

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FACIAL RECOGNITION-BASED ATTENDANCE SYSTEM

ORDINARY APPLICATION

Published

date

Filed on 8 November 2024

Abstract

ABSTRACT A facial recognition-based attendance system (100) comprising a front-end interface (102) configured for providing functionalities for student enrolment, attendance marking, and data visualization, a back-end server (104) for processing attendance requests and storing attendance data, a database (106) configured to store the student enrolment, attendance data, an authentication module (108) for secured user login and a facial recognition module (110) coupled to the front-end interface and the back-end server for real-time face detection, facial landmark detection, and face recognition. <>

Patent Information

Application ID202411085927
Invention FieldELECTRONICS
Date of Application08/11/2024
Publication Number47/2024

Inventors

NameAddressCountryNationality
SHUBHAM BURALOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
SUYASH PANDEYLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
SHUBHAMLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
RAGHVENDRA DUBEYLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
ABASS HASSANLOVELY 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 attendance management systems, and more specifically, to a facial recognition-based attendance system that provides automated and secure attendance tracking in educational and organizational settings.
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] Traditional attendance management systems rely on manual methods like roll calls, card-based check-ins, or paper-based registers. These methods are often inefficient, susceptible to errors , Claims:1. A facial recognition-based attendance system (100), comprising:
a front-end interface (102) configured for providing functionalities for student enrolment, attendance marking, and data visualization;
a back-end server (104) for processing attendance requests and storing attendance data,
a database (106) configured to store the student enrolment, attendance data;
an authentication module (108) for secured user login; and
a facial recognition module (110) coupled to the front-end interface and the back-end server for real-time face detection, facial landmark detection, and face recognition.

2. The facial recognition-based attendance system (100) as claimed in claim 1, wherein the face recognition module (110) further comprises a pre-processing feature for facial image data, ensuring that uploaded images meet quality standards by rejecting photos with multiple faces or low resolution to enhance the accuracy of facial recognition.

Documents

NameDate
202411085927-COMPLETE SPECIFICATION [08-11-2024(online)].pdf08/11/2024
202411085927-DECLARATION OF INVENTORSHIP (FORM 5) [08-11-2024(online)].pdf08/11/2024
202411085927-DRAWINGS [08-11-2024(online)].pdf08/11/2024
202411085927-FIGURE OF ABSTRACT [08-11-2024(online)].pdf08/11/2024
202411085927-FORM 1 [08-11-2024(online)].pdf08/11/2024
202411085927-FORM-9 [08-11-2024(online)].pdf08/11/2024
202411085927-POWER OF AUTHORITY [08-11-2024(online)].pdf08/11/2024
202411085927-PROOF OF RIGHT [08-11-2024(online)].pdf08/11/2024
202411085927-REQUEST FOR EARLY PUBLICATION(FORM-9) [08-11-2024(online)].pdf08/11/2024

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