Business hall service efficiency evaluation method and system

Abstract

The invention provides a business hall service efficiency evaluation method and system. The method comprises the following steps: obtaining a face high-definition image of a client through an image obtaining device, and obtaining the residence time of theclient in the service, the hall entering time of the client and the like through a plurality of sensors; transmitting the image to an artificial intelligence neural network in a client analysis server, and outputting the gender, the age group and the facial expression corresponding to the image; and carrying out statistics, by a calculation module in the client analysis server, to obtain psychological reaction evaluation parameters corresponding to each service; completing psychological response statistics on each service through the evaluation parameters, and storing the result in client mode information in a client server. By adopting the method and the device, the service efficiency provided by employees can be evaluated, a service sold in a business hall or the satisfaction degree of the service can be accurately and efficiently known, and data support is provided for service recommendation of the service personnel.

Description

technical field [0001] The present invention relates to the technical field of big data processing of artificial intelligence, in particular to an evaluation method and system based on features extracted from facial images of service personnel in business halls through a neural network, and in particular to a method and system for evaluating service efficiency of business halls . Background technique [0002] In the service window department, such as the electric power business hall, etc., when the service personnel in the business hall (hereinafter referred to as employees) need to face each other with customers, they provide unified services. However, skilled, experienced and knowledgeable employees in the industry can provide appropriate services according to the characteristics of customers, but if employees lack experience and knowledge in related industries, it will be difficult to provide differentiated services for each customer, and employees will use Respond to al...

AI Technical Summary

Problems solved by technology

This method of evaluating interest by artificial intelligence is feasible for the services provided by self-service machines, but for the use of manual services, the accuracy of the conclusion will be greatly reduced

This is because the transition from man-machine dialogue to human-to-human dialogue is more complicated; in addition, regarding the change of service personnel's language, no attention has been paid to the statistical analysis of the information, and the change of interest level obtained from data changes has not been obtained.

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