An intelligent image-based customer analysis service

Lee, Ting-Wei; Chiu, Yen-Lin; Wu, Yu-Liang; Liu, Heng-Sung

doi:10.1109/apnoms.2014.6996534

Cited by 7 publications

(1 citation statement)

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“…The system is based on facial recognition and the content of the digital advertisement is changed when people are at a certain proximity in relation to the billboard. Lee et al presented an intelligent image-based customer analysis system [19], which utilizes 2D and 3D image technologies. The 2D part enables eye detection, light compensation, feature extraction and classification to recognize the gender, age and attention time of people.…”

Section: Related Workmentioning

confidence: 99%

A Novel Computer Vision-Based Advertisement System for Individual Marketing

2018

Teh. vjesn.

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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.

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Section: Related Workmentioning

confidence: 99%