OptiSense: A Web-based Eyewear Recommender System based on Face Shape with Augmented Reality
DOI:
https://doi.org/10.24191/jcrinn.v11i2.627Keywords:
Recommender System, Eyewear, Augmented Reality, Web-Based SystemAbstract
The eyewear industry is undergoing a digital transformation, driven by the need for personalization, convenience, and immersive user experiences. OptiSense is an eyewear recommender system which combines content-based filtering and augmented reality (AR) to improve the online shopping experience. It offers a personalized recommendation of eyewear depending on user preferences like type of frame, stylistic preference, and shape of face. The system mitigates major weaknesses of classic eye-wear shopping which include the necessity of visiting brick and mortar stores and the lack of immersive virtual try-on options in most online platforms. By implementing AR technology through a web camera, OptiSense enables the customer to see the suggested glasses in live feed, which makes this process highly interactive and convenient to use. Based on the waterfall development framework, the system has been developed on a basis of HTML, CSS, JavaScript, and PHP coding languages, MySQL, and WebAR tools so that the system performance would be robust and the interaction of the system would be smooth. Rigorous usability testing was done on 25 Universiti Teknologi MARA (UiTM) Perlis students and five eyewear shops workers confirming that the system is an effective aid to purchase decision making and increasing user satisfaction. Providing a virtual try-on option does not only eliminate the uncertainty of purchasing the product online but it also helps to recreate the in-store experience in a virtual context. OptiSense unites the gap between online and offline shopping, offering a scalable and innovative solution for the advancing eyewear industry. Future enhancements may include advanced machine learning for improved personalization and expanded mobile compatibility, further locating OptiSense as a forward-thinking tool in e-commerce.Downloads
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Copyright (c) 2026 Alif Najmuddin Akmar Jalil, Mahfudzah Othman (Author)
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