Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-07-99-14
DOI: https://dx.doi.org/10.15863/TAS.2021.07.99.14
Language: English
Citation: Uraimov, J., & Abdurazaqov, N. (2021). Age and gender detection from live cameras for future smart shopping stores. ISJ Theoretical & Applied Science, 07 (99), 56-61. Soi: http://s-o-i.org/1.1/TAS-07-99-14 Doi: https://dx.doi.org/10.15863/TAS.2021.07.99.14 |
Pages: 56-61
Published: 30.07.2021
Abstract: In the future, artificial intelligence can influence marketing strategies, including business models, sales processes, and customer service opportunities, as well as customer behavior. This is evidenced by the fact that today the role of high technology in all areas is growing. In developed countries, Smart Stores are traditional retail chains and use high technology. These include Live cameras that can detect age and gender. This article discusses how to identify age and gender in smart stores via live cameras.
Key words: camera, technology, smart store, live camera, picture, gender, age, products.
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