01622nas a2200265   4500000000100000000000100001008004100002260001200043653002200055653001900077653001900096653002200115653001300137100002800150700002800178700002400206700002400230700002800254245007000282856007900352300001000431490000600441520089500447022001401342       2022                            d  c09/202210aData Augmentation10aEdge Computing10aFace Detection10aOne-Shot Learning10aSecurity1 aDiego M. Jiménez-Bravo1 aÁlvaro Lozano Murciego1 aAndré Sales Mendes1 aLuís Augusto Silva1 aDaniel H. De La Iglesia00aEdge Face Recognition System Based on One-Shot Augmented Learning  uhttps://www.ijimai.org/journal/sites/default/files/2022-09/ijimai7_6_4.pdf  a31-440 v73 aThere is growing concern among users of computer systems about how their data is handled. In this sense, IT (Information Technology) professionals are not unaware of this problem and are looking for solutions to meet the requirements and concerns of their users. During the last few years, various techniques and technologies have emerged that allow us to answer to the problem posed by users. Technologies such as edge computing and techniques such as one-shot learning and data augmentation enable progress in this regard. Thus, in this article, we propose the creation of a system that makes use of these techniques and technologies to solve the problem of face recognition and form a low-cost security system. The results obtained show that the combination of these techniques is effective in most of the face detection algorithms and allows an effective solution to the problem raised.  a1989-1660