Description:INFRARED LASER-BASED FACIAL RECOGNITION ATTENDANCE SYSTEM AND METHOD THEREOF
BACKGROUND
Technical Field
[0001] The embodiment herein generally relates to an attendance system and more particularly, to an infrared laser-based facial recognition attendance system and method thereof.
Description of the Related Art
[0002] Manual attendance systems are time-consuming, error-prone, and lack real-time tracking. Existing biometric systems often fail in managing attendance across multiple classes, courses, departments and can take attendance of one student at a time in real-time, especially with large-scale institutions.
[0003] Accordingly, there remains a need for an infrared laser-based facial recognition attendance system and method thereof.
SUMMARY
[0004] In view of the foregoing, embodiments herein provide an infrared laser-based facial recognition attendance system. The system includes infrared laser dot projection module, an infrared camera, an Artificial Intelligence (AI) facial recognition module, a dual display module, attendance database, a real-time dashboard module, and a notification module. The infrared laser dot projection module is configured at an entrance of a classroom. The infrared laser dot projection module emits a precise dot or structured light pattern onto a face of a student.
[0005] Further, the infrared camera that is aligned by the infrared laser dot projection module to capture the student's face. The AI facial recognition module is configured to process the captured student’s face for face detection, and feature extraction. The AI facial recognition module matches the face detected and extracted feature against pre-registered facial profiles stored in a local or cloud database. If AI facial recognition module match is successful then the system marks attendance of the student.
[0006] The dual display module is configured to provide immediate visual feedback to both users and administrators. The attendance database is configured to record time in and time out of the student inside the classroom. The real-time dashboard module is configured to provide real-time monitoring of the attendance. The notification module is configured to provide alert to parents in case the student is absent or fail to appear to class.
[0007] In some embodiments, the dual display module is configured to display student name and attendance confirmation in student side display unit, and display real-time student’s presences log, headcount, and any system alerts.
[0008] In some embodiments, the time-in is logged as soon as the student is recognized.
[0009] In some embodiments, the time-out is optionally logged when the student leaves and is recognized again.
[00010] In some embodiments, the real-time dashboard module enables administrators to filter data by date, student, course, or session.
[00011] In some embodiments, the notification module sends an automated SMS to a registered phone number of the parent or guardian.
[00012] In another aspect of the embodiments herein provide a method to provide an infrared laser-based facial recognition attendance system. The method includes configuring, an infrared laser dot projection module, at an entrance of a classroom. The infrared laser dot projection module emits a precise dot or structured light pattern onto a face of a student. The method further includes aligning, an infrared camera, by the infrared laser dot projection module to capture the student's face. The method further includes configuring, an Artificial Intelligence (AI) facial recognition module, to process the captured student’s face for face detection, and feature extraction. The AI facial recognition module matches the face detected and extracted feature against pre-registered facial profiles stored in a local or cloud database. If AI facial recognition module match is successful then the system marks attendance of the student.
[00013] The method further includes configuring, a dual display module, to provide immediate visual feedback to both users and administrators. The method further includes configuring, attendance database, to record time in and time out of the student inside the classroom. The method further includes configuring, a real-time dashboard module, to provide real-time monitoring of the attendance. The method further includes configuring, a notification module, to provide alert to parents in case the student is absent or fail to appear to class.
[00014] In some embodiments, the dual display module is configured to display student name and attendance confirmation in student side display unit, and display real-time student’s presences log, headcount, and any system alerts.
[00015] In some embodiments, the time-in is logged as soon as the student is recognized.
[00016] In some embodiments, the time-out is optionally logged when the student leaves and is recognized again.
[00017] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein, and the embodiments herein include all such modifications.
BRIEF DESCRIPTION OF THE DRAWINGS
[00018] The embodiments herein will be better understood from the following detailed description with reference to the drawings, in which:
[00019] FIG. 1 illustrates attendance capturing environment, according to some embodiments herein;
[00020] FIG. 2 illustrates an infrared laser-based facial recognition attendance system, according to some embodiments herein;
[00021] FIG. 3 illustrates an exemplary infrared laser-based facial recognition attendance system, according to some embodiments herein; and
[00022] FIG. 4 illustrates a flow chart shows a method for providing an infrared laser-based facial recognition attendance system, according to some embodiments herein.
DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS
[00023] The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[00024] As mentioned, there remains a need for an infrared laser-based facial recognition attendance system and method thereof. Referring now to the drawings, and more particularly to FIGs. 1 through 4, where similar reference characters denote corresponding features consistently throughout the figures, there are shown preferred embodiments.
[00025] FIG. 1 illustrates attendance capturing environment 100, according to some embodiments herein. The environment 100 includes an infrared laser dot projection module 102, student side display unit 104, and audio feedback unit 106. The infrared laser dot projection module 102 captures one or more students entering the classroom. The student side display unit 104 name of a student and attendance captured message. The audio feedback unit 106 provides audio message that the attendance has been captured.
[00026] FIG. 2 illustrates an infrared laser-based facial recognition attendance system 200, according to some embodiments herein. The system 200 includes infrared laser dot projection module 102, an infrared camera 202, an Artificial Intelligence (AI) facial recognition module 204, a recognition validation module 206, a buzzer feedback module 208, a dual display module 210, attendance database 212, a real-time dashboard module 214, and a notification module 216. The infrared laser dot projection module 102 is configured at an entrance of a classroom. The infrared laser dot projection module 102 emits a precise dot or structured light pattern onto a face of a student.
[00027] Further, the infrared camera 202 that is aligned by the infrared laser dot projection module to capture the student's face. The AI facial recognition module 204 is configured to process the captured student’s face for face detection, and feature extraction. The AI facial recognition module 204 matches the face detected and extracted feature against pre-registered facial profiles stored in a local or cloud database. If AI facial recognition module 204 match is successful then the system marks attendance of the student.
[00028] The dual display module 210 is configured to provide immediate visual feedback to both users and administrators. The attendance database 212 is configured to record time in and time out of the student inside the classroom. The real-time dashboard module 214 is configured to provide real-time monitoring of the attendance. The notification module 216 is configured to provide alert to parents in case the student is absent or fail to appear to class.
[00029] In some embodiments, the dual display module 210 is configured to display student name and attendance confirmation in student side display unit, and display real-time student’s presences log, headcount, and any system alerts.
[00030] In some embodiments, the time-in is logged as soon as the student is recognized.
[00031] In some embodiments, the time-out is optionally logged when the student leaves and is recognized again.
[00032] In some embodiments, the real-time dashboard module 214 enables administrators to filter data by date, student, course, or session.
[00033] In some embodiments, the notification module 216 sends an automated SMS to a registered phone number of the parent or guardian.
[00034] In infrared laser dot projection module 102, the laser guidance acts as the soul technology of the invention, ensuring the student aligns their face correctly for accurate imaging and recognition. The use of IR laser allows effective operation even in poor lighting and adds a layer of precision not achievable through conventional lighting. The camera alignment is crucial for enabling accurate and fast facial recognition in real-world environments. The camera works in tandem with the laser system to collect high-contrast facial images without being affected by ambient light conditions.
[00035] The students can view their own attendance records through a personal interface. Reports are available in downloadable formats (e.g., PDFs) for institutional use.
[00036] The system is fully automated and contactless facial recognition using laser-based 3D sensing. First-of-its-kind use of laser depth-sensing technology to capture faces for attendance. High-precision depth sensing with extended range, capturing 20-30 faces simultaneously at classroom entry Dual display feedback showing recognized student names and attendance count. Real-time tracking of in-time, out-time, and total classroom duration. Buzzer confirmation ensures immediate acknowledgment of recognition. Integrated real-time dashboard for both administrators and students. Automated filtering, export to PDF reports, and dashboard data management features. Automated SMS notifications to parents for absentees.
[00037] FIG. 3 illustrates an exemplary infrared laser-based facial recognition attendance system, according to some embodiments herein. The real-time, laser-based facial recognition attendance system using Infrared Laser Dot projection System, installed at classroom doors to automatically detect and record large number of student attendance simultaneously. It includes a dual-screen display to show the student’s name and the number of students present, with a buzzer feedback mechanism. The system tracks in-time, out-time, and total duration in class. An integrated dashboard allows admins to manage students, courses, sessions, and lectures, while students access their personalized attendance dashboard. Absentee and attendance report notifications are sent to parents via SMS. Attendance can be filtered, tracked by date, and downloaded in detailed PDF reports.
[00038] FIG. 4 illustrates a flow chart shows a method 400 for providing an infrared laser-based facial recognition attendance system, according to some embodiments herein. At step 402, the method 400 includes configuring, an infrared laser dot projection module, at an entrance of a classroom. The infrared laser dot projection module emits a precise dot or structured light pattern onto a face of a student. At step 404, the method 400 includes aligning, an infrared camera, by the infrared laser dot projection module to capture the student's face. At step 406, the method 400 includes configuring, an Artificial Intelligence (AI) facial recognition module, to process the captured student’s face for face detection, and feature extraction. The AI facial recognition module matches the face detected and extracted feature against pre-registered facial profiles stored in a local or cloud database. If AI facial recognition module match is successful then the system marks attendance of the student.
[00039] At step 408, the method 400 includes configuring, a dual display module, to provide immediate visual feedback to both users and administrators. At step 410, the method 400 includes configuring, attendance database, to record time in and time out of the student inside the classroom. At step 412, the method 400 includes configuring, a real-time dashboard module, to provide real-time monitoring of the attendance. At step 414, the method 400 includes configuring, a notification module, to provide alert to parents in case the student is absent or fail to appear to class.
[00040] An advantage of the system 200 is that the system 100 reduces class delays by instantly logging attendance.
[00041] An advantage of the system 200 is that the system 100 improves accuracy through laser-enhanced facial recognition.
[00042] An advantage of the system 200 is that the system 100 automates the attendance process, freeing teachers from administrative tasks.
[00043] An advantage of the system 200 is that the system 100 notifies parents immediately through SMS alerts.
[00044] An advantage of the system 200 is that the system 100 tracks student in-time, out-time, and total duration in the classroom.
[00045] An advantage of the system 200 is that the system 100 provides scalable dashboard supports attendance tracking across courses and departments provides a fully contactless and hygienic solution.
[00046] An advantage of the system 200 is that the system 100 provides Easily scalable to handle large student populations across many classrooms.
[00047] An advantage of the system 200 is that the system 100 introduces a new global innovation: using laser-based vision systems specifically for automated attendance
[00048] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practised with modification within the scope of the appended claims.
, C , Claims:CLAIMS
We claim:
1. An infrared laser-based facial recognition attendance system (200), comprising:
an infrared laser dot projection module (102) that is configured at an entrance of a classroom, wherein the infrared laser dot projection module (102) emits a precise dot or structured light pattern onto a face of a student;
an infrared camera (202) that is aligned by the infrared laser dot projection module (102) to capture the student's face;
an Artificial Intelligence (AI) facial recognition module (204) that is configured to process the captured student’s face for face detection, and feature extraction,
wherein the AI facial recognition module (204) matches the face detected and extracted feature against pre-registered facial profiles stored in a local or cloud database,
wherein if AI facial recognition module (204) match is successful then the system marks attendance of the student;
a dual display module (210) that is configured to provide immediate visual feedback to both users and administrators;
attendance database (212) that is configured to record time in and time out of the student inside the classroom;
a real-time dashboard module (214) that is configured to provide real-time monitoring of the attendance; and
a notification module (216) that is configured to provide alert to parents in case the student is absent or fail to appear to class.
2. The system (200) as claimed in claim 1, wherein the dual display module (210) is configured to:
display student name and attendance confirmation in student side display unit; and
display real-time student’s presences log, headcount, and any system alerts.
3. The system (200) as claimed in claim 1, wherein the time-in is logged as soon as the student is recognized.
4. The system (200) as claimed in claim 1, wherein the time-out is optionally logged when the student leaves and is recognized again.
5. The system (200) as claimed in claim 1, wherein the real-time dashboard module (214) enables administrators to filter data by date, student, course, or session.
6. The system (200) as claimed in claim 1, wherein the notification module (216) sends an automated SMS to a registered phone number of the parent or guardian.
7. A method (400) to provide an infrared laser-based facial recognition attendance system, comprising:
configuring (402), an infrared laser dot projection module, at an entrance of a classroom, wherein the infrared laser dot projection module emits a precise dot or structured light pattern onto a face of a student;
aligning (404), an infrared camera, by the infrared laser dot projection module to capture the student's face;
configuring (406), an Artificial Intelligence (AI) facial recognition module, to process the captured student’s face for face detection, and feature extraction,
wherein the AI facial recognition module matches the face detected and extracted feature against pre-registered facial profiles stored in a local or cloud database,
wherein if AI facial recognition module match is successful then the system marks attendance of the student;
configuring (408), a dual display module, to provide immediate visual feedback to both users and administrators;
configuring (410), attendance database, to record time in and time out of the student inside the classroom;
configuring (412), a real-time dashboard module, to provide real-time monitoring of the attendance; and
configuring (414), a notification module, to provide alert to parents in case the student is absent or fail to appear to class.
8. The method (400) as claimed in claim 7, wherein the dual display module is configured to:
display student name and attendance confirmation in student side display unit; and
display real-time student’s presences log, headcount, and any system alerts.
9. The method (400) as claimed in claim 7, wherein the time-in is logged as soon as the student is recognized.
10. The method (400) as claimed in claim 7, wherein the time-out is optionally logged when the student leaves and is recognized again.