Face Recognition System to RPA Software Design and Implementation

Suwarno Suwarno


The purpose of this research is to build a face recognition system, and implement it into an RPA (Robotic Process Automation) software to expand automation capabilities. The system is built using the Python programming language. The face recognition algorithm that is used is an open-source library that has been pre-trained and developed beforehand along with a library called OpenCV. The client side of the system is desktop based, and requires a stable internet connection. Users of the system are able to register faces into the system, and then later detect and extract information from them using only images of faces with an average speed of 500 ms for every frame, with an accuracy of ~98% with tolerance set at the default value of 0.6. The system is also capable of automatically registering any new faces that it encounters.


Face Recognition, Python, RPA, Desktop

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Autor, D. H. (2015). Why Are There Still So Many Jobs? The History and Future of Workplace Automation. Journal of Economic Perspectives, 29(3), 3–30.

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Ullah Khan, S. (2015). The Rise of “Big Data” on Cloud Computing: Review and Open Research Issues. Information Systems, 47(1), 98–115.

Idrees, S. M., Alam, M. A., & Agarwal, P. (2018). A Study of Big Data and Its Challenges. International Journal of Information Technology, (1), 1–6.

Lacity, M. C., Willcocks, L. P., & Craig, A. (2015). Robotic Process Automation at Telefónica O2. MIS Quarterly Executive, 15(2), 1–19.

Mani, R. (2016). a Study on Consumer Buying Behavior Towards Two Wheeler Bikes. International Journal of Application or Innovation in Engineering & Management, 5(August), 52–56.

Poushter, J. (2016). Smartphone Ownership and Internet Usage Continues to Climb in Emerging Economies. Pew Research Center, 1–45.

van der Aalst, W. M. P., Bichler, M., & Heinzl, A. (2018). Robotic Process Automation. Business and Information Systems Engineering, 60(4), 269–272.

Vinay, A., Shekhara, V. S., Rituparna, J., Aggrawal, T., Balasubramanya Murthy, K. N., & Natarajan, S. (2015). Cloud Based Big Data Analytics Framework for Face Recognition in Social Networks Using Machine Learning. Procedia Computer Science, 50(1), 623–630.

DOI: https://doi.org/10.31289/jite.v3i2.3106

DOI (PDF): https://doi.org/10.31289/jite.v3i2.3106.g2427


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