Automated Checkout System Using Deep Learning to Detect Product Image Classification

With the continuous development of technology, automated checkout systems are becoming increasingly popular in the retail industry. This research aims to use the deep learning technology YOLOv5 model to classify product images efficiently and then implement an automated checkout system without scanning barcodes. Our research method achieved terrific results in testing, with a classification accuracy of 98.7%.