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- 1. TYPE THE SUBJECT NAME HERE SUBJECT CODE IV VIII IT8811 Project Review FINAL REVIEW Project Title: FACE RECOGNITION AND ATTENDANCE MARKING USING ML
- 2. 2 IT8811 Project Work ABSTRACT Attendance is considered as the action or state of going regularly to or being present at a place or event. Attendance system is being used in every organization around the globe. The manual attendance record system is inefficient and more time consuming . Hence a system is needed which will solve the flaws which often occurs in manual attendance.
- 3. 3 IT8811 Project Work ABSTRACT Face recognition is among the most productive image processing applications and has a pivotal role in the technical field. The development of this system is aimed to accomplish digitization of the traditional system of taking attendance and maintaining pen-paper records. Present strategies for taking attendance are tedious and time-consuming, attendance records cannot be easily manipulated by manual recording. After face recognition attendance reports will be generated only if the student is around 2km range in college. The system is tested under various conditions like illumination, head movements, the variation of distance between the cameras and matching the Longitude & Latitude.
- 4. 4 IT8811 Project Work SDG GOALS INDUSTRY , INNOVATION AND INFRASTRUCTURE (9) Its aims to build resilient infrastructure, promote sustainable industrialization and encourage the development of innovation.
- 6. INFERENCE FROM LITERATURE SURVEY In most of the articles that we have seen and studied, recognize face marks with a defined pattern, Using Local Binary patterns and Local Directional patterns. These systems are based on detection, recognition, and matching algorithms that automatically detect the face when the student enters the classroom. This increases the cost of the system and involves good maintenance 6 Project Work IT8811
- 7. 7 IT8811 Project Work EXISTING SYSTEM Existing system is a manually maintained software system and as well as the application used to take attendance, but it doesn’t have the features of the location. Huge time consumption (In case of a large organization) Biometric scanners are used in many organizations to scan the fingerprint of users. The accuracy is not good enough to load so much data Advanced devices that are fixed on the entrance wall so that it will identify each person crossing through it.
- 8. 8 IT8811 Project Work PROPOSED SOLUTION • Present strategies for taking attendance are tedious and time-consuming, attendance records cannot be easily manipulated by manual recording • After face recognition attendance will be marked. The system is tested under various conditions like illumination, head movements, the variation of distance between the cameras and matching the Longitude & Latitude. • Mark attendance only if you are in the specified Longitude & Latitude with 2 km range , with high accuracy. • Time efficient in case of large organization with huge people.
- 9. 9 IT8811 Project Work REQUIREMENTS HARDWARE: • CORE i3, 4GB RAM SOFTWARE: • JAVA • ANDROID STUDIO • MONGO DB • WINDOWS / LINUX
- 11. Q IT8811 11
- 12. MODULES List of modules 1.Students : Registration Login Face Recognition Location checking Attendance marking Activity monitor 2.Staff : Login Face Recognisation Location checking Attendance marking Project Work IT8811 12
- 13. MODULES 3.Admin : Update or send any specific information to student and staffs profiles: Warning message about the attendance percentage or any location violation Detailed view of student activity: pie chart of how many hours students are in the organization or given location are provided to the admin Can view and download data : The spreadsheet of students and staffs presence per day are provided to the admin Project Work IT8811 13
- 14. MODULES DESCRIPTION ADMINISTRATORMODULE: Student Details: In this module deals with the allocation of roll no and personal details for a new batch. It will generate personal details of students and academic details of the students with the photos. StaffDetails: It helps to allow the subject and the subject code to the particular staff. It provides the facility to have a user name and password for the staff. Timetabledetails It will retrieve the subject information from the subject database and assign time table to the staff. It will help the admin, and staff to make the entry of attendance based on the subject and period allotted to the respective staff. Project Work IT8811 14
- 15. MODULES DESCRIPTION Attendance details: It will be made to the attendance database for all students. Entered attendance to be stored in the database subject, period-wise into the particular date. It will help s to get reports weekly and consolidate the attendance. Report details: Report can be taken daily, weekly, and consolidated weekly reports get all hour details of attendance starting date to ending date and display the status Consolidate report to get all student attendance details starting date to ending date status help for the eligibility criteria of the student to attend the examination. Project Work IT8811 15
- 22. SCOPE FOR FUTURE DEVELOPMENT The project has a very vast scope in the future. The project can be implemented on the intranet in the future. The project can be updated shortly as and when the requirement for the same arises, as it is very flexible in terms of expansion. With the proposed software of database Space Manager ready and fully functional, the client is now able to manage and hence run the entire work in a much better, more accurate, and error-free manner. The followingare the future scope for the project. Discontinue particular students and eliminate potential attendance. Individual Attendance system With photo using Student login. Project Work IT8811 22
- 23. 23 IT8811 Project Work CONCLUSION • Attendance using face recognition is designed to solve the issues of existing manual systems. We have used the face recognition concept to mark the attendance of staff and make the system better. • The system performs satisfactorily in different poses and variations& specified Longitude and Latitude on the campus. • In the future this system will be improved, also we have some processing limitations, working with a system of high processing may result in the even better performance of this system.
- 24. 24 IT8811 Project Work REFERENCES [1] Mehta, Preeti, and Pankaj Tomar. "An Efficient Attendance Management System based on Face Recognition using Matlab and Raspberry Pi 2." International Journal of Engineering Technology Science and Research IJETSR 3.5 (2016): 71-783. [2] Karnali, Oscar, et al. "Face-face at classroom environment: Dataset and exploration." 2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2018. [3] Ashwini, C., et al. "An Efficient Attendance System Using Local Binary Pattern and Local Directional Pattern." Journal of Network Communications and Emerging Technologies (JNCET) www. jncet. org 8.4 (2018). .