Kunjal Kanji Makwana,
Yash Prakash Ingale,
Ritesh Rajesh Singh,
Prof. Aarti Abhyankar,
- Student, K C College of Engineering and Management studies and Research, Thane, Maharashtra, India
- Student, K C College of Engineering and Management studies and Research, Thane, Maharashtra, India
- Student, K C College of Engineering and Management studies and Research, Thane, Maharashtra, India
- Assistant Professor, K C College of Engineering and Management studies and Research, Thane, Maharashtra, India
Abstract
Augmented Reality (AR) has emerged as a transformative technology with profound implications for various industries, including fashion retail. In this context, the development of AR Wrist scan watch application represents a significant advancement, offering consumers an engaging and immersive way to virtually interact with timepieces before making purchase decisions. This research paper delves into the intricate process of creating such applications using Unity, a versatile game engine, and Vuforia, a robust AR development platform. Through a detailed examination of the technical implementation, including design considerations, environment setup, watch model integration, AR interaction mechanisms, and rendering optimizations, this paper provides insights into the complexities of AR development. Furthermore, it addresses key challenges such as tracking accuracy, realism enhancement, and device compatibility, offering practical solutions to overcome these hurdles. Looking ahead, the paper explores future directions for AR Wrist scan Watch applications, including enhanced interactivity and social engagement features, thereby paving the way for a more immersive and personalized shopping experience in the fashion retail landscape. By shedding light on the convergence of technology and fashion, this research contributes to the ongoing discourse surrounding AR innovation and its implications for consumer behavior and industry trends
Keywords: Augmented Reality (AR), AR Wrist scan watch applications, Unity, Vuforia, Tracking accuracy, Realism enhancement, Device compatibility, Immersive shopping experience, Personalized shopping, Technology and fashion.
[This article belongs to Recent Trends in Sensor Research & Technology (rtsrt)]
Kunjal Kanji Makwana, Yash Prakash Ingale, Ritesh Rajesh Singh, Prof. Aarti Abhyankar. AR Based Wrist Scan Watch App. Recent Trends in Sensor Research & Technology. 2024; 11(03):-.
Kunjal Kanji Makwana, Yash Prakash Ingale, Ritesh Rajesh Singh, Prof. Aarti Abhyankar. AR Based Wrist Scan Watch App. Recent Trends in Sensor Research & Technology. 2024; 11(03):-. Available from: https://journals.stmjournals.com/rtsrt/article=2024/view=177042
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Recent Trends in Sensor Research & Technology
| Volume | 11 |
| Issue | 03 |
| Received | July 5, 2024 |
| Accepted | August 17, 2024 |
| Published | October 5, 2024 |