%0 Journal Article %1 shuaib2023online %A Shuaib, %A Thejesh, %A Harish, %D 2023 %J International Journal of Innovative Research in Information Security %K attendance cctv online security system %N 2 %P 45-49 %R 10.26562/ijiris.2023.v0902.07 %T Online Attendance System Using CCTV %U http://www.ijiris.com/volumes/Vol09/iss-02/07.MYIS10086.pdf %V 09 %X The online attendance system is a project that aims to create a more efficient and secure method for recording attendance at educational institutions, offices, and other organizations. The main objective of the project is to develop a system that can accurately identify individuals based on their facial features, and record their attendance automatically. One of the main problems that the face recognition attendance system aims to solve is the issue of manual attendance recording, which is often time-consuming and prone to errors. By automating the attendance process, we eliminate the need for annual attendance registers and reduce the burden on staff. The online attendance system uses advanced algorithms to analyze and compare facial features, and can accurately identify individuals even if they are wearing masks or have changed their appearance. The system can also be integrated with other software, such as payroll systems, to provide a more streamlined and efficient process for managing attendance and payroll. Overall, the face recognition attendance system is a valuable tool for improving attendance management and security at educational institutions, offices, and other organizations. It offers a more accurate and efficient method for recording attendance, and can significantly reduce the workload and costs associated with manual attendance recording.

@article{shuaib2023online, abstract = {The online attendance system is a project that aims to create a more efficient and secure method for recording attendance at educational institutions, offices, and other organizations. The main objective of the project is to develop a system that can accurately identify individuals based on their facial features, and record their attendance automatically. One of the main problems that the face recognition attendance system aims to solve is the issue of manual attendance recording, which is often time-consuming and prone to errors. By automating the attendance process, we eliminate the need for annual attendance registers and reduce the burden on staff. The online attendance system uses advanced algorithms to analyze and compare facial features, and can accurately identify individuals even if they are wearing masks or have changed their appearance. The system can also be integrated with other software, such as payroll systems, to provide a more streamlined and efficient process for managing attendance and payroll. Overall, the face recognition attendance system is a valuable tool for improving attendance management and security at educational institutions, offices, and other organizations. It offers a more accurate and efficient method for recording attendance, and can significantly reduce the workload and costs associated with manual attendance recording.}, added-at = {2023-05-30T09:19:37.000+0200}, author = {Shuaib and Thejesh and Harish}, biburl = {https://www.bibsonomy.org/bibtex/2ebc7acf2c0fa295ca60254338f4005ec/ijiris}, description = {In this system we have implemented an attendance system for a lecture, section or laboratory by which lecturer or teaching assistant can record students’ attendance. It saves time and effort, especially if it is a lecture with huge number of students. Automated Attendance System has been envisioned for the purpose of reducing the drawbacks in the traditional (manual) system. This attendance system demonstrates the use of image processing techniques in classroom. This system can not only merely help in the attendance system, but also improve the goodwill of an institution.}, doi = {10.26562/ijiris.2023.v0902.07}, interhash = {31f697135026bc4d3a23f7b1e834b177}, intrahash = {ebc7acf2c0fa295ca60254338f4005ec}, issn = {2349-7017}, journal = {International Journal of Innovative Research in Information Security}, keywords = {attendance cctv online security system}, language = {English}, month = {May 2023}, note = {[1] Muhammad Kamran, Muhammad Asif, Zeeshan Ahmed, and H.B. Kekre. "A Secure and Reliable Face Recognition Based Attendance System Using Block chain." In IEEE International Conference on Computer, Communication and Control Technology (I4CT), pp.1-5.IEEE,2021. [2] P.K.Shukla, S.K.Srivastava, and A.K.Tiwari."Deep Learning Based Face Recognition System for Attendance Management." In IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), pp.466-470.IEEE,2021 https://doi.org/10.1109/rteict.2017.8256691 [3] S.A. Hameed, Zeeshan Ahmed, and H.B. Kekre. "Privacy-Preserving Face Recognition for Attendance Systems." In IEEE International Conference on Computer, Communication and Control Technology (I4CT),pp.1-5.IEEE,2021. [4] Muhammad Asif, Zeeshan Ahmed, H.B. Kekre, and A.R. Naseer. "A Survey of Face Recognition Techniques for Attendance System." In IEEE International Conference on Computer, Communication and Control Technology (I4CT),pp.1-5.IEEE,2020. [5] H.B.Kekre, S.R.Patil, and D.S. Dharaskar."An Accurate and Efficient Face Recognition Based Attendance System." In IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI),pp.2265-2269.IEEE,2020. [6] E Varadharajan , R Dharani , S.Jeevitha, B Kavinmathi, S. Hemalatha “ Automatic Attendance Management system using face detection” at 2020 Department of InformationTechnology. https://doi.org/10.1109/get.2016.7916753 [7] Shreyak Sawhney, Karan Kacker, Samayak Jain, Shailendra Narayan ,Rakesh Garg“Real Time Smart Attendance system using face recognition techniques “ in international conference on cloud computing data science and engineering 2019. https://doi.org/10.1109/confluence.2019.8776934}, number = 2, pages = {45-49}, timestamp = {2023-05-30T09:20:57.000+0200}, title = {Online Attendance System Using CCTV}, url = {http://www.ijiris.com/volumes/Vol09/iss-02/07.MYIS10086.pdf}, volume = 09, year = 2023 }