Development of a smart checkout assistant for supermarket products using computer vision

Hazran, Nurin Qashrina (2021) Development of a smart checkout assistant for supermarket products using computer vision. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Self-checkout system is a great invention toward development of checkout service in supermarket. It is convenient approach toward improving a customer shopping experience. It is increasingly important now when the world needs to familiarize themselves toward contactless activity. However, most of the self-checkout system in Malaysia depend on barcodes, RFID tags and QR codes. This method requires a lot of procedure and time in maintain the quality of checkout and inventory process for supermarket. Hence this project proposed a development of a smart checkout system for Supermarket product that embedded with a single camera using computer vision. Computer vision is considered as a powerful field of artificial intelligent that allow a computer to analyse and interpret the visual world. There is a lot of technology that has implement a computer vision toward their invention which has contribute a lot to our society. Thus, computer vision will once again be implemented in this project. Furthermore, this project will be using a deep learning model to train the computer to detect object. Deep learning has proven to be an effective learning feature when training the computer toward working with computer vision task. For this project, the system able to achieve the accuracy of 0.891Ap and all the objects are successfully detected with the accuracy above 50%. The checkout system was able to compute a basic process of the checkout system which is to calculate the total price and display the product list of the checkout process.

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