Taking time to identify expected products and waiting for the checkout in a retail store are
common scenes we all encounter in our daily lives. The realization of automatic product …

Deep learning is a popular direction in computer vision and digital image processing. It is
widely utilized in many fields, such as robot navigation, intelligent video surveillance …

Food recognition has captured numerous research attention for its importance for health-
related applications. The existing approaches mostly focus on the categorization of food …

In this letter, we propose a protocol for an automatic food recognition system that identifies
the contents of the meal from the images of the food. We developed a multilayered …

With the dramatic increase of the global population and with food insecurity increasing, it
has become a major concern for both individuals and governments to fulfill the need for …

Deep learning refers to Convolutional Neural Network (CNN). CNN is used for image
recognition for this study. The dataset is named Fruits-360 and it is obtained from the Kaggle …

Recognition of grocery products in store shelves poses peculiar challenges. Firstly, the task
mandates the recognition of an extremely high number of different items, in the order of …

Food processing technology is an important part of modern life globally and will undoubtedly
play an increasingly significant role in future development of industry. Food quality and …

In the last few years, we have witnessed an exponential growth in research activity into the
advanced training of convolutional neural networks (CNNs), a field that has become known …

Object recognition is among the fundamental tasks in the computer vision applications,
paving the path for all other image understanding operations. In every stage of progress in …