TELKOMNIKA Telecommunication, Computing, Electronics and Control
Software engineering model based smart indoor localization system using deep-learning
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Software engineering model based smart indoor localization system using deep-learning
Software engineering model based smart indoor localization system using deep-learning
Subject
CNN, Deep learning, GPS, Indoor localization, Raspberry Pi, Robotic car, Software engineering
Description
During the last few years, the allocation of objects or persons inside a specific building is highly required. It is well known that the global positioning system (GPS) cannot be adopted in indoor environment due to the lack of signals. Therefore, it is important to discover a new way that works inside. The proposed system uses the deep learning techniques to classify places based on capturing images. The proposed system contains two parts: software part and hardware part. The software part is built based on software engineering model to increase the reliability, flexibility, and scalability. In addition, this part, the dataset is collected using the Raspberry Pi III camera as training and validating data set. This dataset is used as an input to the proposed deep learning model. In the hardware part, Raspberry Pi III is used for loading the proposed model and producing prediction results and a camera that is used to collect the images dataset. Two wheels’ car is adopted as an object for introducing indoor localization project. The obtained training accuracy is 99.6% for training dataset and 100% for validating dataset.
Creator
Zainab Mohammed Resan, Muayad Sadik Croock
Source
DOI: 10.12928/TELKOMNIKA.v18i4.14318
Publisher
Universitas Ahmad Dahlan
Date
August 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Zainab Mohammed Resan, Muayad Sadik Croock, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Software engineering model based smart indoor localization system using deep-learning,” Repository Horizon University Indonesia, accessed September 20, 2024, https://repository.horizon.ac.id/items/show/3971.
Software engineering model based smart indoor localization system using deep-learning,” Repository Horizon University Indonesia, accessed September 20, 2024, https://repository.horizon.ac.id/items/show/3971.