Result: HARDWARE DESIGN OF THE TOUCHLESS HAND CODE AND CONVOLUTIONAL NEURAL NETWORKS - BASED AUTOMATIC DOOR SECURITY SYSTEM

Title:
HARDWARE DESIGN OF THE TOUCHLESS HAND CODE AND CONVOLUTIONAL NEURAL NETWORKS - BASED AUTOMATIC DOOR SECURITY SYSTEM
Authors:
Prihanto, Surya, Effendy, Nazrul, Nopriadi, Nopriadi
Source:
Jurnal Teknik Informatika (Jutif); Vol. 4 No. 6 (2023): JUTIF Volume 4, Number 6, Desember 2023; 1339-1346 ; 2723-3871 ; 2723-3863
Publisher Information:
Informatika, Universitas Jenderal Soedirman
Publication Year:
2023
Subject Terms:
Arduino, Automatic door, Convolutional Neural Networks, Hand Code, Virus
Document Type:
Academic journal article in journal/newspaper
File Description:
application/pdf
Language:
English
Relation:
http://jutif.if.unsoed.ac.id/index.php/jurnal/article/view/1117/396; http://jutif.if.unsoed.ac.id/index.php/jurnal/article/view/1117
DOI:
10.52436/1.jutif.2023.4.6.1117
Availability:
http://jutif.if.unsoed.ac.id/index.php/jurnal/article/view/1117
https://doi.org/10.52436/1.jutif.2023.4.6.1117
Rights:
Copyright (c) 2023 Surya Prihanto, Nazrul Effendy, Nopriadi Nopriadi
Accession Number:
edsbas.5A3A2C2C
Database:
BASE

Further Information

The spread of viruses and bacteria through touching door surfaces is essential in maintaining public hygiene and health. In this context, a hand-coded touchless automatic door hardware design has been developed to reduce the spread of diseases through touch. This research aims to create a plan that includes interface development and hardware design to open and close doors automatically without contact. In this research, the automatic door hardware response is tested based on the numeric input from the hand code represented by the numeric database. The input and output control is connected to Python's graphical user interface (GUI). The GUI system design involves tools to connect the Python programming language and the Arduino microcontroller. Based on the experimental results, the hardware design of the automatic door security system based on hand code and Convolutional Neural Networks functions appropriately.