IMPLEMENTATION OF SPEECH RECOGNITION IN POINT-OF-SALE SYSTEM

Abstract

In today's fast-paced world, customers demand swift and convenient services, making it imperative for businesses to offer a friendly and user-friendly system to expedite the checkout process. Traditional cash registers have been largely replaced by Point-of-Sale Systems (POS Systems), which combine both software and hardware to record sales in real-time. However, with the advent of technology and artificial intelligence, there is a compelling opportunity to enhance the efficiency of POS systems even further. Speech Recognition (SR) and Natural Language Processing (NLP), which fall under the domain of Artificial Intelligence, facilitate human computer communication by enabling machines to understand and transcribe spoken language. This breakthrough offers an alternative input method to conventional keyboards and other hardware components. This thesis project aims to implement speech recognition technology in Point-of-Sale systems, reducing the reliance on traditional keyboard input method. The study poses two key research questions: whether Voice/Speech Recognition can effectively replace keyboard input in POS systems and how Voice/Speech Recognition can enhance service delivery in such systems. The research objectives include proposing speech recognition as a viable substitute for keyboard input and examining its impact on service delivery in POS systems. It addresses the practical application of speech recognition in point-of-sale systems using existing algorithms use in PHP, JavaScript (Ajax, jQuery) and MySQL with the help of Web Speech API, offering a novel approach to improve database interactions. In conclusion, this thesis explores the integration of speech recognition in Point-of-Sale systems as a means to optimize productivity and customer service, ultimately offering a valuable alternative to traditional input method.