Facial Expression Recognition and Beauty Health Management Based on Image Feature Analysis

2Citations
Citations of this article
39Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Face recognition can convey a kind of intuitive and rich information to people. With the current Internet security problems becoming more and more prominent today, in order to better effectively guarantee the security of such digital images during Internet transmission, one of the most direct and effective solutions is to recognize the characteristics of such digital information on facial expressions. However, the customer service system of the beauty and health club itself is a customer service software system based on customer experience and marketing management as its core functions. This article discusses the main software design and system realization of the management platform of the beauty and health club customer information service system in the entire operation process from the application development trend of information software. Based on the theoretical research and application development of the current corporate customer business service management system of the beauty and health club, the basic concepts and operating methods of current corporate customers, business service information management, and business service customer management, as well as the corresponding corporate information customer management. The management technology and other issues are first briefly summarized in theory, and then based on the specific business development characteristics of the current beauty and health clubs, the main application functions and specific market requirements of the service company's corporate customer service management system are analyzed in detail and introduced the related functions of using the software.

Cite

CITATION STYLE

APA

Fu, S., & Xu, B. (2022). Facial Expression Recognition and Beauty Health Management Based on Image Feature Analysis. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/4336840

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free