Computer Vision Applied to Smart Markets: a Case Study for Empty Shelf Detection

• Renzo P. Mesquita INATEL / UNIFEI
• Eduardo H. Teixeira INATEL
• Avner J. G. Ribeiro INATEL
• Bernardo D. Gandolpho INATEL
• Fábio Luiz F. Pontes INATEL

DOI: https://doi.org/10.5753/eniac.2024.245034

Resumo

Computer vision technique is attracting the attention of many industries once it has allowed the deployment of powerful applications capable of detecting patterns and changes in different kinds of environments by using popular hardware and software. Retailing is an example of an industry that has been leveraging the use of this concept in order to create resourceful environments such as smart markets. This paper focuses on demonstrating computer vision’s applicability to detect empty spaces in supermarket shelves using a custom-trained YOLO model. This study provides insights into the practicality of using computer vision and a small single-board computer (SBC) in retail spaces and shows how the results found can be useful to be applied in real-life scenarios.

Palavras-chave: Retail, Smart Markets, Computer Vision, YOLO

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