International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | An Enhanced Virtual Fitting Room using Deep Neural Networks |
|---|---|
| ABSTRACT | Customer experience in traditional fitting rooms is a critical aspect of the textile industry, yet these spaces often present challenges such as long waiting lines, the inconvenience of repeatedly changing outfits, privacy concerns, and wasted time. To address these issues, we propose a Virtual Fitting Room powered by convolutional neural networks (CNNs). The system integrates a TV display, two webcams, and a computer to capture the customer’s body and render a realistic visualization of them wearing selected garments. By combining deep learning with augmented reality, the application performs body detection and generates virtual clothing overlays. Using stereo vision, it extracts body measurements, while additional features analyze age, gender, facial structure, and skin tone to recommend suitable clothing styles. The system also allows customization of outfits based on user preferences and achieved 99% accuracy in style recommendations through a feedforward neural network (FFNN). Furthermore, customers can select clothing for individuals who are not physically present in the store. The output delivers highly realistic virtual try-ons, enabling efficient personalization of textile products. This innovation has the potential to significantly impact the fashion and textile industry, positioning it as a competitive solution among existing applications |
| AUTHOR | SARTHAK BHOR, SANJANA PURASWANI, SHRUTI PARDESHI, AMRUTA THENG, PROF. SHEETAL KAPSE Sinhgad Technical Education Society’s Smt. Kashibai Navale College of Engineering, Pune, Maharashtra, India Project Guide, Sinhgad Technical Education Society’s Smt. Kashibai Navale College of Engineering, Pune, Maharashtra, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404028 |
| pdf/28_An Enhanced Virtual Fitting Room using Deep Neural Networks.pdf | |
| KEYWORDS | |
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