WITHDRAWN: Development of internet of things and cloud based applications using Kivy for mobile and smartphone integration

Vani, Ch.; Reddy, G. Ramkrishna

doi:10.1016/j.matpr.2021.01.753

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…Kivy is a cross-platform Python toolkit that may quickly construct apps with novel interfaces. Kivy is a sophisticated Python-based framework for developing mobile apps featuring natural user interfaces (NUI) [26]. Kivy has the following features: support for numerous inputs such as tangible user interface objects (TUIO), multi-touch, mouse, and keyboard; robust APIs for most smartphones; a single application for several operating systems; and compatibility for networking protocols and remote login.…”

Section: Kivy Frameworkmentioning

confidence: 99%

Face recognition based on Siamese convolutional neural network using Kivy framework

Aufar¹,

Sitanggang²

2022

IJEECS

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Human face recognition is a vital biometric sign that has remained owing to its many levels of applications in society. This study is complex for free faces globally because human faces may vary significantly due to lighting, emotion, and facial stance. This study developed a mobile application for face recognition and implemented one of the convolutional neural network (CNN) architectures, namely the Siamese CNN for face recognition. Siamese CNN can learn the similarity between two object representations. Siamese CNN is one of the most common techniques for one-shot learning tasks. Our participation in this study determined the efficiency of the Siamese CNN architecture with the enormous quantity of face data employed. The findings demonstrated that the suggested strategy is both practical and accurate. The method with augmentation produces the best results with a total data set of 9000 face images, a buffer size of 10000, and epochs of 5, producing the minimum loss of 0.002, recall of 0.996, the precision of 0.999, and F1-score of 0.672. The proposed method gets the best accuracy of 98% with test data. The Siamese CNN model is successfully implemented in Python, and a user interface and executables are built using the Kivy framework.

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Section: Kivy Frameworkmentioning

confidence: 99%