Abstract
In this article, we describe a method to apply the technology of face recognition and big data mining into assessing the feedback from the customers to the advertisements which they are watching, thus elevating the precision of commercial delivery. Our system (CARD) installed on the billboards bridges advertisements with customers. Firstly, by automatically recognizing the faces of customers in front of this piece of advertisement and then only collecting the facial data for assessing this time’s delivery feedback. Furthermore, applying the technology of big data mining, it is designed to make an overall assessment automatically about this certain piece of advertisement according to inference rules in the evaluation model(FAEM). For example, to what degree does it appeal to the customers, what kind of customers are obsessed in it the most, and what is the relations of it with the objective factors such as the place, time and weather respectively. We will introduce a new method for matching the fittest advertisement for customers by accurately assessing both of them, which successfully eliminates the feeling of disgust generated by customers for watching an irrelevant and prolix piece of advertisement their mobile devices.
Awards
- National First Prize in the 5th China Software Cup National College Students Software Designing Contest (Awarded only for top 17/4093 teams including international ones from UK、Canada and South Korea)
Publications
National Invention Patent No. 2017101385486
Patentee: Yang Yidi
Inventor: Zhu Siyu, Yang Yidi
Patent Name: An Evaluating and Decision-making Method of Advertising based on the Technology of Face Recognition and Big Data Mining
URL: https://patents.google.com/patent/CN106971317A/zh
Software copyright No. 01656298
Copyright owner: Wuhan University
Inventor: Zhu Siyu, Yang Yidi
Software Name: An Expert System of Advertising based on the Technology of Face Recognition and Big Data Mining
Video Demo
YouTube: https://www.youtube.com/watch?v=t6wdY4XG1u0&t=33s