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Design and Development Body Temperature Sensor

for Attendance Machine and Security Gate Page 52 of 54

Andreadie Wicaksono

REFERENCES

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Budzier, H., & Gerlach, G. (2011). Thermal Infrared Sensors. In Thermal Infrared Sensors.

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Davies, E. R. (2017). Computer Vision: Principles, Algorithms, Applications, Learning: Fifth Edition. In Computer Vision: Principles, Algorithms, Applications, Learning: Fifth Edition.

Ge, S., Li, J., Ye, Q., & Luo, Z. (2017). Detecting masked faces in the wild with LLE-CNNs.

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Gollapudi, S. (2019). Learn Computer Vision Using OpenCV. In Learn Computer Vision Using OpenCV. https://doi.org/10.1007/978-1-4842-4261-2

Harikrishnan, J., Sudarsan, A., Sadashiv, A., & Remya Ajai, A. S. (2019). Vision-Face Recognition Attendance Monitoring System for Surveillance using Deep Learning Technology and Computer Vision. Proceedings - International Conference on Vision Towards Emerging Trends in Communication and Networking, ViTECoN 2019, 1–5.

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Koppikar, U., Hiremath, S., Shiralkar, A., Rajoor, A., & Baligar, V. P. (2019). IoT based Smart Attendance Monitoring Systems using RFID. 1st IEEE International Conference on Advances in Information Technology, ICAIT 2019 - Proceedings, 193–197.

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Design and Development Body Temperature Sensor

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Andreadie Wicaksono Mulyawan, H., Samsono, M. Z. H., & Setiawardhana. (2011). Identifikasi Dan Tracking Objek

Berbasis Image. 1–5. http://repo.pens.ac.id/1324/1/Paper_TA_MBAH.pdf

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877. https://doi.org/10.26438/ijcse/v6i5.871877 Sensors, M. T. (n.d.). omron D6T data sheet (pp. 0–23).

Tang, H. F., & Hung, K. (2017). Design of a non-contact body temperature measurement system for smart campus. 2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016, 0–3. https://doi.org/10.1109/ICCE-China.2016.7849773

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Uetama, T. R. (2020). STATEMENT BY THE AUTHOR I hereby declare that this submission is my own work and to the best of my knowledge , it contains no material previously published or written by another person , nor material which to a substantial extent has been accepted for the. 1–61.

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(2019). Attendance System Based on Face Recognition System Using CNN-PCA Method and Real-Time Camera. 2019 2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019, 301–304.

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