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AUTOMATED ATTENDANCE MANAGEMENT SYSTEM

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AUTOMATED ATTENDANCE MANAGEMENT SYSTEM

ORDINARY APPLICATION

Published

date

Filed on 13 November 2024

Abstract

ABSTRACT An automated attendance management system 100, comprising a user interface 102 with facial recognition capabilities to verify individual identities, a positioning module 104 to confirm that the user is within a designated area, a cloud-based backend database 106 to securely store attendance data and enable real-time data access by authorized personnel and an expression monitoring module 108 to track user engagement and send notifications for proactive classroom management. <>

Patent Information

Application ID202411087436
Invention FieldCOMMUNICATION
Date of Application13/11/2024
Publication Number48/2024

Inventors

NameAddressCountryNationality
KM KIYA PATELLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
AKSHAY KUMARLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
AVINASH PANDEYLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
AKASH KUMAR GUPTALOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
MS. DEEPALI BHAGATLOVELY 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 attendance management systems, specifically to an automated attendance system leveraging facial recognition technology to enhance efficiency and accuracy in educational and professional environments.
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 methods, such as roll calls or manual sign-ins, are often labor-intensive and susceptible to errors, leading to issues like proxy attendance and inefficient time management. Whi , Claims:1. An automated attendance management system (100), comprising:
a user interface 102 with facial recognition capabilities to verify individual identities;
a positioning module 104 to confirm that the user is within a designated area;
a cloud-based backend database 106 to securely store attendance data and enable real-time data access by authorized personnel; and
an expression monitoring module 108 to track user engagement and send notifications for proactive classroom management.

2. The system (100) as claimed in claim 1, wherein the user interface generates and requires a unique session code to ensure attendance is marked within the specified timeframe of a session.

3. The system (100) as claimed in claim 1, wherein the attendance data is stored in a secure cloud-based database, providing authorized users with real-time data access and analytics for monitoring attendance patterns and engagement levels.

Documents

NameDate
202411087436-COMPLETE SPECIFICATION [13-11-2024(online)].pdf13/11/2024
202411087436-DECLARATION OF INVENTORSHIP (FORM 5) [13-11-2024(online)].pdf13/11/2024
202411087436-DRAWINGS [13-11-2024(online)].pdf13/11/2024
202411087436-FIGURE OF ABSTRACT [13-11-2024(online)].pdf13/11/2024
202411087436-FORM 1 [13-11-2024(online)].pdf13/11/2024
202411087436-FORM-9 [13-11-2024(online)].pdf13/11/2024
202411087436-POWER OF AUTHORITY [13-11-2024(online)].pdf13/11/2024
202411087436-PROOF OF RIGHT [13-11-2024(online)].pdf13/11/2024
202411087436-REQUEST FOR EARLY PUBLICATION(FORM-9) [13-11-2024(online)].pdf13/11/2024

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