Designing an Intelligent Digital Signage System for Business Marketing

Cem Yıldız () and Vahap Tecim ()
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Cem Yıldız: Dokuz Eylül University
Vahap Tecim: Dokuz Eylül University

A chapter in Economy, Finance and Business in Southeastern and Central Europe, 2018, pp 757-767 from Springer

Abstract: Abstract This study explores how to define popular contents using interactive screenshots. Each screenshot provides valuable data for contents. Analyzing data with intelligent software, popular contents will be chosen automatically for people using screenshot data. Then, each intelligent digital platform publishes popular content gathering interactive data through an autonomous environment. For this purpose, digital signage displays that have glass call equipment positioned at the strategic points of airports, metro stations, training reading rooms, canteens, bus stations, and gyms are used. Face recognition software (image process) is used to evaluate interest levels of the audience. System collects data (age, gender, ethnics, dwell time) from each digital point to find out how long they spend time in front of the specific contents. An intelligent system finds out which content is important for each group using collected data (age, gender, ethnics, dwell time) for each point. The content of this information is published at a specified point in the specified time period. Statistical reports are published using a variety of graphs for the managers to inform the digital signage platforms’ performances.

Keywords: Digital signage; Intelligent system; Autonomous content; Business marketing (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-70377-0_52

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DOI: 10.1007/978-3-319-70377-0_52

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