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Machine Learning Pose Detection Kit Implementation in Taspen Android Application
Habbe A.H.
Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy Icais 2023
Abstract
The purpose of this paper is to determine that a machine learning kit for live detection is able to minimize the time consumed or time efficiency from offline pension live detection to activate the monthly pension recipient bank account compared to online methods that are available now. Time efficiency measured by time needed to complete the task to check the lives of pension recipients offline and online. The research case application for this paper is live detection in Taspen authentication android application that is available on google play store for online, and old offline process that obliged the pension recipient to come to PT. Taspen office directly. The methodology to measure time efficiency is very efficient. In broad outline, the results of time efficiency are very satisfied compared to online live check. The result is making the conclusion that online live detection is more efficient than the old offline method to detect the lives of pension recipients. Note that this paper is a conceptual paper without any data to collect and also analyze, but just to determine that machine learning has a significant role and is productive and also useful in financial technology.