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All Journal JOIN (Jurnal Online Informatika)
Nurul Dewi Aulia
Department of Informatics, UIN Sunan Gunung Djati Bandung, Bandung 40614, Indonesia
Computer Science & IT

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AR Make-up Filter for Social Media using the HSV Color Extraction Maisevli Harika; Setiadi Rachmat; Nurul Dewi Aulia; Zulfa Audina Dwi; Vandha Pradwiyasma Widartha
JOIN (Jurnal Online Informatika) Vol 7 No 2 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i2.994

Abstract

Choosing the appropriate cosmetics is an arduous task. Because cosmetics are tested directly on the skin to ensure each person’s preferences are met. The consumer repeatedly tries a sample and then discards it until he discovers one that meets his tastes. The cosmetics business and consumers are affected by this move. Companies can utilize Augmented Reality (AR) technology as an alternative to mass-producing cosmetic samples. The difficulty of deploying augmented reality is the difficulty of putting cosmetics into camera video streams. Each individual bears the burden of skin color and its effect on light. HSV Color Extraction was the method employed for this study. The application of augmented reality intends to enable consumers to test cosmetics with their chosen color and assist businesses in competing in the industry by promoting items and engaging customers. This work makes it easier to choose cosmetics using augmented reality and social media. AR simulates the usage of the desired color cosmetics, whereas social media allows users to obtain feedback on their color preferences. The outcomes of this study indicate that augmented reality (AR) apps can display filters in bright, dim, and even wholly dark lighting conditions. This research contributes originality that cosmetic firms can utilize to market their products on social media.
Co-Authors Maisevli Harika Setiadi Rachmat Vandha Pradwiyasma Widartha Zulfa Audina Dwi