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2018 | OriginalPaper | Buchkapitel

Designing an Intelligent Digital Signage System for Business Marketing

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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.

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Literatur
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Zurück zum Zitat Kelsen, K. (2013). Unleashing the power of digital signage: Content strategies for the 5th screen. UK: Focal Press. Kelsen, K. (2013). Unleashing the power of digital signage: Content strategies for the 5th screen. UK: Focal Press.
Zurück zum Zitat Meadows, J. H. (2014). Digital signage: Communication technology update and fundamentals (14th ed.). UK: Focal Press. Meadows, J. H. (2014). Digital signage: Communication technology update and fundamentals (14th ed.). UK: Focal Press.
Zurück zum Zitat Müller, H. J. et al. (2009). Display blindness: The effect of expectations on attention towards digital signage (pp. 1–8). Berlin, Deutschland. Müller, H. J. et al. (2009). Display blindness: The effect of expectations on attention towards digital signage (pp. 1–8). Berlin, Deutschland.
Zurück zum Zitat Müller, H. J., et al. (2011). Pervasive advertising. London, UK: Springer.CrossRef Müller, H. J., et al. (2011). Pervasive advertising. London, UK: Springer.CrossRef
Zurück zum Zitat Ravnik, R., & Solina, F. (2013). Audience measurement of digital signage: Quantitative study in real-world environment using computer vision (p. 1). Ljubljana: ePrints.FRI. Ravnik, R., & Solina, F. (2013). Audience measurement of digital signage: Quantitative study in real-world environment using computer vision (p. 1). Ljubljana: ePrints.FRI.
Zurück zum Zitat Schaeffler, J. (2008). Digital signage software, network, advertising, and displays: A primer for understanding the business. UK: Focal Press. Schaeffler, J. (2008). Digital signage software, network, advertising, and displays: A primer for understanding the business. UK: Focal Press.
Zurück zum Zitat Testori, M. (2014). The applications of video analytics in media planning, trade and shopper marketing. In Video analytics for audience measurement (pp. 3–20). Stockholm: Springer. Testori, M. (2014). The applications of video analytics in media planning, trade and shopper marketing. In Video analytics for audience measurement (pp. 3–20). Stockholm: Springer.
Metadaten
Titel
Designing an Intelligent Digital Signage System for Business Marketing
verfasst von
Cem Yıldız
Vahap Tecim
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-70377-0_52