Face Recognition Based Attendance System with Auto Alert to Guardian Using Call and SMS

1. International Journal of International Open Access Journal International Open Access Journal | www.ijtsrd.com International Journal of Trend in Scientific Research and Development (IJTSRD) Research and Development (IJTSRD) www.ijtsrd.com ISSN No: 2456 ISSN No: 2456 - 6470 | Volume - 3 | Issue – 1 | Nov 1 | Nov – Dec 2018 Face Recognition Based Attendance System Auto Alert to Guardian o Guardian Using Call and SMS Face Recognition Based Attendance System with nd SMS Diksha Ghare, Prajakta Katakdhond Department of Computer Engineering, f Computer Engineering, PCET’s NMIET Talegaon-Dabhade, Maharashtra Prajakta Katakdhond, Shraddha Ujgare, Komal Suskar, Prof. Amruta Surana Prof. Amruta Surana Maharashtra, India II. The main Motivation of this Attendance System should be Automated calls and SMS to Guardian. Attendance based on Face attendance can be get marked as w record attendance of student’s by recognizing their faces And after recognizing the student face his/her attendance will get marked. As face is the unique identity of person. III. Literature Survey Paper1. Algorithm for Management: Face Recognition based approach Author Name: Naveed HaroonYousaf, Waqar Ahma nd M. Description: All These methods also waste time because students have to make thumb on the scanning device. This wo the efficient algorithm that automatically marks the Attendance without human attendance is recorded by using a camera attached in front of classroom that is images of students, detect the faces in compare the detected faces with the database and mark the attendance. The paper review the related work in the field of attendance system then describes the system architecture, software results. Paper2. Study of implementing Attendance System using Implementing Automated Attendance System Using face recognition Technique Author Name: Nirmalaya Kar, Mrinal Kanti Debbarma, AshimSaha, and Dwijen Rudra Pal, Description: Authentication is a significant issue in system control in computer based communication. Human face recognition is an important branch of biometric verification and has been widely used in many applications, such as video monitor system, many applications, such as video monitor system, ABSTRACT Now a days the smart attendance management system using face detection techniques. Daily attendance marking is a common and important activity in schools and colleges for checking the performance of students. Manual Attendance maintainin process, especially for large group of students. Some automated systems developed to overcome these difficulties, have drawbacks like cost, fake attendance, accuracy, intrusiveness. drawbacks, there is need of smart and aut attendance system. We are implementing attendance system using face recognition. Since face is unique identity of person, the issue of fake attendance and proxies can be solved. Key Words: Face Authentication, Viola and Jones Algorithm, SMS, Auto Call I. INTRODUCTION Today’s dynamic business environment requires real time time-attendance and access control solution with anytime, anywhere access. The existing biometric credentials used for authentication faces some challenges in identification due to various changes and extreme weather condition effect on biometrics. Matrix presents COSEC Face Recognition - A Powerful Biometric User Identification based on Innovative, Deep Learning Technology. It accepts the user’s mobile as a credential and evolves regular user interaction in different conditions. The technology checks liven of a face with 99.53% accuracy. It is a facial recognition attendance system that ensures contactless authentication and identifies user’s face in < 1 Sec. Our hi-tech world has brought to us so many machineries which made our lives quite easy. Motivation Now a days the smart attendance management system using face detection techniques. Daily attendance marking is a common and important activity in schools and colleges for checking the performance of students. Manual Attendance maintaining is difficult process, especially for large group of students. Some automated systems developed to overcome these difficulties, have drawbacks like cost, fake attendance, accuracy, intrusiveness. drawbacks, there is need of smart and automated attendance system. We are implementing attendance system using face recognition. Since face is unique identity of person, the issue of fake attendance and of this Attendance System should be Automated calls and SMS to Guardian. Detection. No proxy attendance can be get marked as we are going to record attendance of student’s by recognizing their faces And after recognizing the student face his/her attendance will get marked. As face is the unique To To overcome overcome these these Algorithm for Efficient Efficient Attendance Attendance Management: Face Recognition based approach Author Name: Naveed HaroonYousaf, Waqar Ahma nd M. IramBaig Description: All These methods also waste time because students have to make a queue to touch their thumb on the scanning device. This work describes the efficient algorithm that automatically marks the Attendance without human recorded by using a camera attached in Khan Khan Balcoh, Balcoh, M. M. Face Authentication, Viola and Jones intervention. intervention. This This Today’s dynamic business environment requires real- attendance and access control solution with anytime, anywhere access. The existing biometric credentials used for authentication faces some challenges in identification due to various biometric changes and extreme weather condition effect on biometrics. Matrix presents COSEC Face Recognition A Powerful Biometric User Identification based on Innovative, Deep Learning Technology. It accepts the user’s mobile as a credential and evolves as per regular user interaction in different conditions. The technology checks liven of a face with 99.53% accuracy. It is a facial recognition attendance system that ensures contactless authentication and identifies continuously capturing images of students, detect the faces in images and compare the detected faces with the database and the attendance. The paper review the related attendance system then describes the system architecture, software algorithm and 2. Study of implementing Automated Attendance System using Implementing Automated Attendance System Using face recognition Technique Author Name: Nirmalaya Kar, Mrinal Kanti Debbarma, AshimSaha, and Dwijen Rudra Pal, Authentication is a significant issue in trol in computer based communication. Human face recognition is an important branch of biometric verification and has been widely used in ld has brought to us so many machineries which made our lives quite @ IJTSRD | Available Online @ www.ijtsrd.com www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018 Dec 2018 Page: 1134

2. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 human-computer interaction, and door control system and network security. This paper describes a method for Student’s Attendance System which will integrate with the face recognition technology using Personal Component Analysis (PCA) algorithm. The system will record the attendance of the students in class room environment automatically and it will provide the facilities to the faculty to access the information of the students easily by maintaining a log for clock and clock-out time. Paper3. Face Recognition using Principal Component Analysis in MATLAB Author Name: P Singh, A Sharma Description: The papers present an semi program for human face recognition. A self prepared database of different faces is used. Task of removing background from the image is a challenge other hand by implementing Viola detection algorithm and by Principal Component analysis it is possible. An application of system can be real time implementation of face recognition system. A robust and reliable form of recognition can be by using Principal Component analysis. Paper4. Face recognition using eigen faces Author Name: M. Turk and A. Pentland Description: We present an approach to the detection and identification of human faces and describe a working, near-real-time face recognition system which tracks a subject’s head and then recognizes the person by comparing characteristics of the face to those of known individuals. Our approach treats face recognition as a two-dimensional problem, taking advantage of the fact that faces are are normally upright and thus may be described by a small set of 2-D characteristic views. Face images are projected onto a feature space (“face space”) that best encodes the variation among known face images. The face space is defined by the “eigenfaces”, which are the eigenvectors of the set of faces; they do not necessarily correspond to isolated features such as eyes, ears, and noses. The framework provides the ability to learn to recognize new faces in an unsupervised manner. IV. Existing System In the existing system the system only detect Images and save in the database for attendance existing system face recognition the recognition of the face is direct without removing any noise and absent record were not send to guardian. computer interaction, and door control system ity. This paper describes a method for Student’s Attendance System which will integrate with the face recognition technology using Personal Component Analysis (PCA) algorithm. The system will record the attendance of the students in class automatically and it will provide the facilities to the faculty to access the information of the students easily by maintaining a log for clock-in Attendance management is important to every single organization; it can decide whether or not an organization such as educational institutions, public or private sectors will be successful in the future. Organizations will have to keep a track of people Attendance management is important to every single organization; it can decide whether or organization such as educational institutions, public or private sectors will be successful Organizations will have to keep a track of people within the organization such as employees and students to maximize their performance. Managing student attendance during lecture periods has become a difficult challenge. The ability to compute the attendance percentage becomes a major task as manual computation produces errors, and wastes a lot of time. Authentication is system control in computer based communication. Human face recognition is an important branch of biometric verification and has been widely used in many applications, such as video monitor system, human-computer interaction, and door control and network security. This paper describes a method for Students Attendance System with the face recognition technology using Personal Component Analysis algorithm. The system will record the attendance of the students in class room environment automatically and it will provide the facilities to the faculty to access the information of the students easily by maintaining a log for clock clock-out time. V. Architecture of proposed system Architecture of proposed system such as employees and students to maximize their performance. Managing during lecture periods has become a difficult challenge. The ability to compute the percentage becomes a major task as tion produces errors, and wastes a lot 3. Face Recognition using Principal Component a significant issue in system control in computer based communication. is an important branch of biometric verification and has been widely used in such as video monitor system, computer interaction, and door control system and network security. This paper describes a method for Students Attendance System which will integrate with the face recognition technology using Personal algorithm. The system will record the attendance of the students in class room automatically and it will provide the facilities to the faculty to access the information of the students easily by maintaining a log for clock-in and The papers present an semi-automated program for human face recognition. A self prepared of different faces is used. Task of removing challenge but on the other hand by implementing Viola-Jones face detection algorithm and by Principal Component analysis it is possible. An application of system can be real time implementation of face recognition system. A robust and reliable form of recognition can be done 4. Face recognition using eigen faces Description: We present an approach to the detection and identification of human faces and describe a time face recognition system ect’s head and then recognizes the person by comparing characteristics of the face to those of known individuals. Our approach treats face dimensional recognition recognition problem, taking advantage of the fact that faces are t and thus may be described by a D characteristic views. Face images are projected onto a feature space (“face space”) that best encodes the variation among known face images. The face space is defined by the “eigenfaces”, which are nvectors of the set of faces; they do not necessarily correspond to isolated features such as eyes, ears, and noses. The framework provides the ability to learn to recognize new faces in an the existing system the system only detect Images system. In the existing system face recognition the recognition of the any noise and absent @ IJTSRD | Available Online @ www.ijtsrd.com www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018 Dec 2018 Page: 1135

3. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 VI. The experimental setup Patterns of face pictures of an single student is stored in the databank at time of registration. so the faces are then recognised from that of the image then the procedure matches with the database. The attendance marked on server the face identified from the database and it can be accessed by everyone for numerous reasons. This also habits the procedure that can be used for attendance. The system is also attached with the time table unit that robotically gets class at what time and what subject. The system robotically becomes presence deprived of opinions the learners and the teachers. So teachers after coming to the class when taking attendance they just press the attendance button to start the attendance procedure. This method is highly protected method here no one can give the attendance of the other and also saves a lot of time. VII. Algorithm: Viola-Jones Algorithm The Viola-Jones algorithm is a widely used mechanism for object detection. The main property of this algorithm is that training is slow, but detection is fast. This algorithm uses Haar basis feature filters, so it does not use multiplications. The efficiency of the Viola-Jones algorithm can be significantly increased by first generating the integral image. Propose System The experimental setup Patterns of face pictures of an single student is stored in the databank at time of registration. so the faces are then recognised from that of the image then the procedure matches with the database. The attendance marked on server if any of the face identified from the database and it can be accessed by everyone for numerous reasons. This also habits the procedure that can be used for attendance. The system is also attached with the time table unit students attendance. It saves time and effort, especially if it is a lecture with huge number of students. The complete system is implemented in students attendance. It saves time and effort, especially if it is a lecture with huge number of students. The complete system is implemented in JAVA. This attendance system shows the use of facial recognition techniques for the purpose of student attendance and for the further process this record of student can be used in Attendance related issues. IX. Reference 1.Naveed Khan Balcoh, M. Ahma nd M. IramBaig, Attendance Management: Face approach, International Journal of Computer Science Issue, Vol.9, Issue 4, No 1, July 2012. 2.NirmalayaKar, AshimSaha, and DwijenRudraPal, Study of implementing Automated Attendance System using Implementing System Using face recognition Technique, International Journal Communication Engineering, Vol 2012 3.O. Shoewn Development Management System usin Pacific Journal of Science and Technology Volume 13, No 1, May 2012 4.M. Turk and A. Pentland (1991) “Face recognition using eigen faces”. Proc. computer vision and Pattern Recognition 5.W. Zhao, R. Chellapa, P. Rosenfld, ”Face Recognition: A Literature Survey, vol. 35, No 4, Dec 2003, pp.399 6.R. L. Hsu, Mottalec M.A and A. Detection in colour International Conference on Image Processing, Oct 2001,pp. 1046-1049 7.ToufiqP. Ahmed Egammal and Anurag mittal (2006),”A Framework for feature selection for Background Subtraction”, in Proceedings of IEEE computer Society Conference on Computer Vision and Pattern Recognition.. 8.M. H. Yang, N. Ahuja and D. recognition using kernel eigenfaces”, IEEE International Conference on Image Processing, vol.1, pp. 10-13, Sept. 2000 13, Sept. 2000 m shows the use of facial recognition techniques for the purpose of student attendance and for the further process this record of ed in Attendance related issues. Naveed Khan Balcoh, M. HaroonYousaf, Waqar t time and what Algorithm for efficient subject. The system robotically becomes presence deprived of opinions the learners and the teachers. So teachers after coming to the class when taking attendance they just press the attendance button to Attendance Management: Face Recognition Based approach, International Journal of Computer Science Issue, Vol.9, Issue 4, No 1, July 2012. NirmalayaKar, AshimSaha, and DwijenRudraPal, Study of tomated Attendance System using Implementing System Using face recognition Technique, International Journal Communication Engineering, Vol1, No 2,July MrinalKantiDebbarma, MrinalKantiDebbarma, method is highly protected method here no one can give the attendance Automated Automated Attendance Attendance of of Computer Computer and and Jones algorithm is a widely used mechanism for object detection. The main property of this algorithm is that training is slow, but detection is fast. This algorithm uses Haar basis feature filters, so O. Management System using Biometrics. The Pacific Journal of Science and Technology Volume 13, No 1, May 2012 Shoewn Development of of Attendance Attendance Jones algorithm can be significantly increased by first generating the integral M. Turk and A. Pentland (1991) “Face recognition using eigen faces”. Proc. IEEE conference on computer vision and Pattern Recognition Zhao, R. Chellapa, P. J. Phillips and A. ”Face Recognition: A Literature Survey, vol. 35, No 4, Dec 2003, pp.399-458 The integral image allows integrals for the Haar extractors to be calculated by adding only four numbers. For example, the image integral of area ABCD is calculated as II(yA,xA) – II(yC,xC) + II(yD,xD). VIII.Conclusion Capturing the images from camera or cc camera and applying techniques face detection and recognition can decrease the manual work from human and increase the security safety, taking the decision from this recognition result. Based on this face detection and recognition can used in implement so many application like automatic attendances system based on face recognition, worker attendances, security, safety like finding thief in image that help to catching thief. In this system we have implemented an attendance system for a lecture, section or laboratory by which lecturer or teaching assistant an record by which lecturer or teaching assistant an record The integral image allows integrals for the Haar extractors to be calculated by adding only four numbers. For example, the image integral of area L. Hsu, Mottalec M.A and A. K. Jain, ”Face Detection in colour International Conference on Image Processing, images”, images”, Proceedings Proceedings – II(yB,xB) – ToufiqP. Ahmed Egammal and Anurag mittal (2006),”A Framework for feature selection for Background Subtraction”, in Proceedings of IEEE computer Society Conference on Computer Vision images from camera or cc camera and applying techniques face detection and recognition can decrease the manual work from human and increase the security safety, taking the decision from this recognition result. Based on this face detection can used in implement so many application like automatic attendances system based on face recognition, worker attendances, security, safety like finding thief in image that help to catching thief. In this system we have implemented an a lecture, section or laboratory Ahuja and D. Kriegmao, “Face cognition using kernel eigenfaces”, IEEE International Conference on Image Processing, @ IJTSRD | Available Online @ www.ijtsrd.com www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018 Dec 2018 Page: 1136