The Customized Advertising Service With Face Recognition From SandStar: Reaching a Target Audience Efficiently
CHARLOTTE, N.C., March 25, 2020 (Newswire.com) - With the development of technology and digital media, the coverage of advertising screens is substantially increasing. People are constantly exposed to advertising screens inside elevator cars, on subway trains, or in grocery stores when they step outside of their homes.
However, more and more retailers have realized that it is obviously more valuable for their ads to be seen by their target consumers than by everybody.
By casting a wide net, retailers may let their ads for beauty products be seen by too many men and let their ads for shavers be seen by some women. This will significantly reduce the appeal of the products advertised.
How to enable product ads to accurately reach target consumers? Today, SandStar, as a technology company setting the trends for AI+ retail, already has a mature solution under the umbrella of smart retail--customized advertising with face recognition.
Based on advanced computer vision technology, the solution of SandStar for customized advertising with face recognition can deliver customized ads to consumers under offline retail scenarios to make ads more targeted and more intelligent, so that advertisers don’t have to cast a wide net again.
In actual use, cameras can be deployed in front of advertising screens, and the algorithm and software kit of SandStar can be installed in advance. Once someone in front of a screen is “seen” by a camera on the screen, the key facial elements will be extracted from the image, identified to get various information about that person including gender, age, expression and even race. And then, the server will choose the product ads matching this person and deliver them to him or her.
At the China Retail Trade Fair (CHINASHOP) in November 2019, SandStar applied its solution. People of different expressions/genders/ages would see different ads.
For example, when customers face the screen with a smile, it will display selfie sticks for them and remind you “to keep a bright smile”; when a child 5-10 years old or younger goes by, the screen will display products related to Peppa Pig; and when an elderly person goes by, it will recommend travel packages suitable for seniors.
In actual use, the push logic of customized ads can be set freely based on the goods of suppliers and the characteristics of their target customers to really achieve “one ad for each person."
According to statistics, the average time that each person goes by a screen is even less than 1.5 seconds under offline retail scenarios. This solution for customized advertising with face recognition is able to deliver the right ads to the right customers, to really capture the “golden 1.5 seconds” before an advertising screen in offline retail.
For retailers, there is no doubt that such a targeted advertising model will deliver a higher return on their marketing dollars.
Face recognition-based advertising is one of the functions of SandStar’s Smart Retail Solution. Learn more at www.sandstar.com
Source: SandStar
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Tags: AI Retail, AI-Powered Big Data Analysis, Artificial Intelligence, computer vision, facial recognition, targeted promotion