Design and Implementation of WEB-based Multi-entry Face Recognition Customer Management System

In recent years, with the rapid development of the automobile sales market, automobile 4S stores, as one of the main channels for automobile sales, are also facing increasing customer management pressure. The 4S car shop customer management systems have shortcomings such as slow synchronization of information, inefficiency and time-consumption, unable to meet the needs of the pre-sale, after-sale and technical support. These problems seriously affect customer satisfaction and loyalty, which in turn affects the sales performance of 4S stores. To these problems, this paper mainly combines multi-face recognition technology and multi-feature cascade database to design and implement a Web-based multi-entry face recognition customer management system for 4S car shop. The system adopts a multi feature cascaded database as the core technology for storing and processing data, which can achieve synchronization of multi entry customer recognition with high recognition accuracy. It effectively solves the problems of traditional customer management systems, improves the efficiency and accuracy of customer management, and has certain practical value.