Open Checkout Free Grocery
Open checkout-free grocery systems aim to automate the shopping experience by eliminating traditional checkout lines, relying instead on computer vision and machine learning to track customer purchases. Current research focuses on improving object recognition using 3D point cloud data and advanced neural network architectures like transformers for accurate product identification and recommendation, as well as efficient person clustering algorithms to track individual shoppers amidst crowds. These advancements are crucial for optimizing the efficiency and accuracy of such systems, impacting both the retail industry and the broader field of computer vision through the development of novel datasets and algorithms for real-time object recognition and customer behavior analysis.
Papers
Classification of retail products: From probabilistic ranking to neural networks
Manar Mohamed Hafez, Rebeca P. Díaz Redondo, Ana Fernández-Vilas, Héctor Olivera Pazó
Multi-criteria recommendation systems to foster online grocery
Manar Mohamed Hafez, Rebeca P. Díaz Redondo, Ana Fernández-Vilas, Héctor Olivera Pazó