Technical gazette, Vol. 25 No. 5, 2018.
Preliminary communication
https://doi.org/10.17559/TV-20161220142243
A Novel Computer Vision-Based Advertisement System for Individual Marketing
Emre Sümer
orcid.org/0000-0001-8502-9184
; Baskent University, Faculty of Engineering, Department of Computer Engineering, Baglica Campus, Eskisehir Road 20. km, 06810, Ankara - Turkey
Selay Ilgaz Sümer
; Baskent University, Faculty of Economics and Administrative Sciences, Department of Management, Baglica Campus, Eskisehir Road 20. km, 06810, Ankara - Turkey
Hasan Oğul
; Baskent University, Faculty of Engineering, Department of Computer Engineering, Baglica Campus, Eskisehir Road 20. km, 06810, Ankara - Turkey
Abstract
To improve the performance of marketing efforts, marketers seek new ways of attracting customers. Individual marketing is an efficient way of communicating with individuals. Meeting the individual customers’ expectations and needs is becoming increasingly important in modern marketing activities. Marketers have started to concentrate on specific customers’ demands. The paradigm shift from the masses to individuals has required changes to firms’ marketing strategies. In this paper, a new system called the Personalized Smart Billboard System (PSBS) is introduced, which personalizes promotional messages by developing customer profiles using customers’ accessories and some of their facial features. Once any of these clues are detected, related advertisements are shown to the customers. The system was tested with various portrait photos with different visual appearances and promising results were obtained. We anticipate that this system will present a helpful means of establishing more effective communication between businesses and their customers.
Keywords
advertisement; computer vision; individual marketing; object detection; smart billboard
Hrčak ID:
207452
URI
Publication date:
28.10.2018.
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