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Facial Analysis Predicts What Customers Want for Lunch
등록일 : 2017-01-12 09:30 | 최종 승인 : 2017-01-12 09:30
Cedric Dent

[리서치페이퍼=Cedric Dent 기자]

A KFC restaurant in Beijing, China, is using facial-recognition software to predict customers' orders.

The software analyzes images of customers waiting in line to determine their age, sex, and mood.Using these factors, the software recommends a particular meal when the customer steps up to order.Customers can override the suggestion, but KFC has found that the system streamlines ordering.

The system recognizes repeat customers too, KFC says, and remembers what they ordered on previous visits.The software takes that information into account when making a recommendation.

The software was created in collaboration with Baidu, the search engine firm that is the Chinese version of Google.

Reporters visiting a KFC restaurant testing the software gave the system good marks for identifying age, sex, and mood.It did not always recognize repeat customers and its recommendations seemed unsophisticated, based on KFC's list of typical orders for customers that fall into each demographic group instead of on quantitative sales data.

KFC says it intends to install the software and cameras in 5,000 more restaurants in China.The company promises that the data it collects is stored securely and "will not be used for other purposes."

[리서치페이퍼=Cedric Dent 기자]
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