Open Access
Rutika Sanjay Patil
Karuna Nityanand Mhatre
Rutuja Vishwanath Matre
Vaishali Jadhav
- Student Saraswati College of Engineering Mumbai, Maharashtra India
- Student Saraswati College of Engineering Mumbai, Maharashtra India
- Student Saraswati College of Engineering Mumbai, Maharashtra India
- Professor Saraswati College of Engineering Mumbai, Maharashtra India
Abstract
The applications of augmented reality, which is a young technology, have not yet been completely revealed. In order to take the hospitality business in a new direction and provide an engaging learning experience, this project investigates a novel application of augmented reality. In order to give consumers or guests a special experience on mobile devices, this concept uses printed photographs as target images and elevates conventional hotel menu cards using augmented reality technology. In implementation Unity and Vuforia Engine software are used. Most people booked hotel rooms without seeing them, sometimes they may not get satisfied with them. When people order some new dish in hotels it may not fulfill their expectations because they do not know detailed information about the dish. Hence to overcome this problem, we proposed a system using augmented reality in which customers can take a virtual tour of the hotel room before booking and can look at a new variety dish virtually in the form of 3D models. With this, a customer can be satisfied and enjoyed their hotel tour. This growing technology can increase hotel business profit by fulfilling the customers’ needs and requirements.
Keywords: Augmented reality, hospitality, industry, 3D models, virtual reality
References
1. Fahrmeir L, Kneib T, Lang S. 2nd edition. Berlin, Heidelberg: Springer; 2009. Regression- Modelle, Methoden und Anwendungen.
2. Bortz J. 6th edition. Heidelberg: Springer; 2004. Statistik für Human-und Sozialwissenschaftler.
3. Selvin S. Epidemiologic Analysis. Oxford University Press. 2001.
4. Bender R, Lange S. Was ist ein Konfidenzintervall? Dtsch Med Wschr. 2001; 126.
5. Sir Bradford Hill A. The environment and disease: Association or Causation? Proc R Soc Med. 1965; 58: 295–300.
6. Carpenter JR, Kenward MG. Missing Data in Randomised Controlled Trials: A practical guide Birmingham, Alabama: National Institute for Health Research. http://www.pcpoh.bham.ac.uk/ publichealth/methodology/projects/RM03_JH17_MK.shtml.PublicationRM03/JH17/MK. 2008.
7. EMEA. Poiints to consider on multiplicity issues in clinical trials. www.emea.europa.eu/pdfs/ human/ewp/090899en.pdf.
8. Horn M, Vollandt R. Stuttgart: Gustav Fischer Verlag; 1995. Multiple Tests und Auswahlverfahren.
9. Pedhazur, Elazar J (1982). Multiple regression in behavioral research: Explanation and prediction (2nd ed.). New York: Holt, Rinehart and Winston. ISBN 978-0-03-041760-3.
10. Mathieu Rouaud, 2013: Probability, Statistics and Estimation Chapter 2: Linear Regression, Linear Regression with Error Bars and Nonlinear Regression.
11. National Physical Laboratory (1961). “”Chapter 1: Linear Equations and Matrices: Direct Methods””. Modern Computing Methods. Notes on Applied Science. Vol. 16 (2nd ed.). Her Majesty’s Stationery Office.
NOLEGEIN Journal of Human Resource Management & Development
| Volume | |
| Received | May 16, 2022 |
| Accepted | June 30, 2022 |
| Published | January 30, 2023 |