International Journal On Advanced Computer Theory And Engineering (IJACTE)
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ISSN (Print): 2319-2526, Volume -8, Issue -1-2, 2019 1
INTELLIGENT ATTENDANCE MONITORING SYSTEM USING STREAM DATA ANALYTICS
1Iswarya.M,2Iyswarya.D,3Jeevitha.S,4Karthikayini.V.K,5Amudha.L
1,2,3,4Student,Department of Computer Science and Engineering, K.Ramakrishnan College of Engineering, Trichy.
5Assistant Professor, Department of Computer Science and Engineering, K,Ramakrishnan College of Engineering, Trichy.
ABSTRACT:
In the current scenario of education system, maintaining attendance without errors is a big issue due to manual entries. Since, large number of candidates are present in a class there is always a possibility of proxy attendance. It is extremely difficult for faculty to manually identify the candidate who skip their classes on a regular basis. Majority of the previously proposed system used only a single system for managing attendance such as Fingerprint Verification, Face Recognition, Iris Recognition or Barcode Scanner.
This research is to analyse and critically evaluate the attendance marking techniques using face recognition method. To increase the accuracy of attendance management system, the proposed system introduces a framework as a combination of ID-card chip scanner and live stream camera. ID-Card chip Scanner is used for verifying each candidate’s card. Cascade Algorithm is commonly used in image processing for object detection and tracking, primarily facial detection and recognition. The proposed system aims to find the favourite subject of each candidate, analyse and predict individual candidate behaviour, analyse the effectiveness of teaching methodologies and predict the outcome or result for each subject based on semester attendance.
Index Terms—.Attendance Management System(AMS), Cascade Algorithm, ID-Card Chip Scanner, Image Processing, Face Recognition, Stream Analytics
I. INTRODUCTION
Till Now existing system uses one-step verification for attendance management system and it leads to more error. Face recognition has become more important as a path of computer vision, pattern recognition, surveillance, fraud detection, psychology, etc., They have designed and tested many algorithm for recognition and identification of human faces and demonstrated the performance of the algorithm but the performance for the face recognition algorithms on dummy and fake are not reported in the literature. Facial recognition technology as emerged as an attractive solution to address many contemporary requirements for identification and verification of identity candidates.
Several researches a developed so many real time databases with a lot covarieties. To overcome these
flaws our proposed system uses two-step verification and it also analyze the presents of an individual candidate continuously. First we will use the Id-card chip scanner to verify the candidates id-card. The result of id-card chip scanner contains the present and absent list of classroom. The profile of each present candidate will be retrieved from the candidate database. Secondly using the live video each candidates image is captured and it is stored temporarily. Further it matches the captured candidate image with the image of present candidate. This process is done for each hour’s. Finally we will able to analyses the presence of candidate for each periods and also analyses the performance of each subject.
This paper contains seven sections. Section(1)Explains the System Architecture, Section(2) Explains the Enlistment, Section(3) contains Id-card chip scanner, Section(4) contains Video Stream capturing and object Identification, Section(5) explains the Face recognition, Section(6) contains analysis and prediction, Section(7) contains Conclusion.
II. SYSTEM ARCHITECTURE
III. ENLISTMENT
Enlistment is the act of entering an item into a roll or scroll (i.e) whether all the students details has been properly registered or maintained. It mainly reduces the need of printing and reducing human intervention. The database contains all the information of every
International Journal On Advanced Computer Theory And Engineering (IJACTE)
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ISSN (Print): 2319-2526, Volume -8, Issue -1-2, 2019 2
candidates. Any details about the candidates can be retrieved whenever required. It is benifit not only student but also for an organisation or an institution.
Once the present list have been generated using ID Card chip Scanner we can collect the profile of the particular candidate. The images stored in this enlistment is mainly used for recognizing the face. This is a temporary storage database that consists of scan copy of overall candidate images, name, roll-number and all other personal details is also enlisted.
Student database
IV. ID-CARD CHIP SCANNER
ID-card chip scanner is a automatic identification technology used for the purpose of identifying an object via chip. (i.e) It uses the electromagnetic field to automatically identify and track tags attached to the objects with a tiny device that can be later detected by automatic means. This tag will contains electronically stored information. ID-Card chip scanner tags are of two types: Passive Tags and Active Tags. Passive tags consists of 13 digit number tag inbuilt in it, where as active tag is read/write tag i.e. one can read from as well as write it to the tag. This project uses passive tag. ID- card chip scanner is used in order to authenticate each and every candidates presence. It scans the chip which is present in the candidates id card and confirms their presence.
Scanning and Verifying the ID-Card
V.VIDEO STREAM CAPTURING AND OBJECT IDENTIFICATION
Video Stream capturing is the process of converting the analog video signal to digital video and sending it to the local storage. Real time streaming data will be captured through camera and the application will identify different objects in the stream based on the knowledge
base. The objects need to be registered in the application database and the application will use this database for the identification of objects. All the streaming element into intergrated element the beginning of any live streaming is capturing image. This can be a using a camera.
Monitoring the class lively with camera
VI.FACE RECOGNITION
A facial recognition system uses biometrics to map facial features from a photography or video.It compares the information with a database of known faces to find a cent percent match.Facial recognition software reads the geometry of your face that is of 3-D shape.It uses mathematical formula like linear algebra and statistics is compared to the database of your known faces.A final determination is made that a particular student is present in class or not.
Recognizing each face and compares it with the database
VII.ANALYSIS AND PREDICTION
Our proposed system analyses and predicts the following: Ease to analyse the student behaviour.
Analyzes and predicts the student success rate.Easy to predict individuals subject result. Predicts the co-relation between the students and the teachers.
July-December(One Semester)
International Journal On Advanced Computer Theory And Engineering (IJACTE)
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ISSN (Print): 2319-2526, Volume -8, Issue -1-2, 2019 3
VIII. CONCLUSION
Our project takes out any plausibility of proxy also keep record of attendance of students in a well viable way.The existing systems has only one hardware and it leads to many issues such as false attendance.It is happened when a candidate is absent. So, Our proposed system has a two step verification as it contains two hardware's Id-Card Chip Scanner and a live stream camera. The presented student is continuously analyzed by the camera for the above analysis and prediction. The future work that can be incorporated is that an intimation can be sent to the advisers or to the higher authority about the student temporary absence for a particular period.
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