| Sevda Aliyeva, Fidan Yusifova, Ibrahim Aliyev Development of a Mobile Price Tag Recognition System for Visually Impaired Customers |
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| Abstract. Shopping for goods in markets sounds like an easy task, but people with disabilities, including visually impaired individuals, struggle to complete it. To address this problem, a mobile application for reading price information is developed, and while introducing it in this paper, traditional and machine learning models for OCR and TTS are compared. Classical computer vision algorithms are integrated with pre-trained machine learning models by the system to accurately detect and recognize price tags in various real-world conditions. Following image recognition, a dynamic text generation module extracts and structures relevant information, which is then converted into speech for the user. This application provides a user-friendly and relatively cheaper solution while giving a chance for future improvements. |
| Keywords: Price tag recognition, visually impaired users, mobile application, computer vision, pre-trained models, image processing, text-to-speech, voice synthesis, accessibility, assistive technology, traditional models |
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