Real-Time Attendance System for Seamless Workforce Management

1. Behaine C and Scharcanski J, “Enhancing the performance of active shape models in face recognition applications,” IEEE Trans.
Instrument. Measurement, vol. 61, no. 8, pp. 2330–2333, Aug. 2012
2. Bharath N Parashar, Alex Abraham Mathew, Ashwin S.A,”‘Smart Attendance Management System”, published paper in International
Research Journal of Engineering and Technology on 2021.
3. Devesh Pratap Singh and Deepak Singh Rana, “An evaluation of the RSSI Indoor Positioning Integrated Classroom Attendance System”,
published on 05-08-2022.
4. Hu P, Ning H, Ǫiu T, Song H, Wang Y, and Yao X, “Security and privacy preservation scheme of face identification and resolution framework
using fog computing in Internet of Things,” IEEE Internet Things J., vol. 4, no. 5, pp. 1143– 1155, Oct. 2017.
5. Li X, Zhu Y, Wang J, Liu Z, Liu Y, and Zhang M, “On the soundness and security of privacy-preserving SVM for outsourcing data
classification,” IEEE Trans. Dependable Secure Computing., vol. 15, no. 5, pp. 906–912, Sep./Oct. 2018.
6. Mubarak Salem Mubarak Alburaiki, Gapar Md Johar, Rabab Alayham Abbas Helmi, Mohammed Hazim Alkawaz, “Mobile Based
Attendance System; Face Recognition and Placement Detection using Machine Learning”, published in 2021 IEEE 12th Control and System
Graduate Research Colloquium (ICSGRC).
7. Venkata Kalyan Polamarasetty, Muralidhar Reddy Reddem, Dheeraj Ravi, Mahith Sai Madala, “Attendance System based on Face
Recognition”, International Research Journal of Engineering and Technology (IRJET), Volume: 05 Issue: 04, Apr-2018.
8. Vrushaket Chaudhari, Shantanu Jain , Rushikesh Chaudhari, Tanvesh Chavan , Priyanka Shahane proposed, “Real Time Face Recognition
Based Attendance System using Multi Task Cascaded Convolutional Neural Network”, published in International Conference on Emerging
Smart Computing and Informatics (ESCI) on 2023.