Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

Foodflare: An Indoor Navigation System

Authors
M. Varalatchoumy1, *, Santosh Divakaran1, R. Abhishek Ram1
1Cambridge Institute of Technology, Bengaluru, India
*Corresponding author.
Corresponding Author
M. Varalatchoumy
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_62How to use a DOI?
Keywords
Augmented reality; Indoor navigation; Indoor positioning
Abstract

GPS-based navigation has been the go to approach for outdoor navigation systems/applications whereas is deemed ineffective and unreliable in indoor environments. An ideal indoor navigation system requires extensive hardware installations and high setup costs. In this paper, we present FoodFlare a cost effective indoor navigation guidance system for retail environment implementation that minimises the need of human assistance and the need of existing static maps. The proposed system uses the existing sensors built in a mobile device like camera, gyroscope, accelerometer, magnetometer and integrates with Augmented Reality to provide the user with a fluid experience.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
10.2991/978-94-6463-136-4_62
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_62How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - M. Varalatchoumy
AU  - Santosh Divakaran
AU  - R. Abhishek Ram
PY  - 2023
DA  - 2023/05/01
TI  - Foodflare: An Indoor Navigation System
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 722
EP  - 734
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_62
DO  - 10.2991/978-94-6463-136-4_62
ID  - Varalatchoumy2023
ER  -