Service quality evaluation method, device and storage medium for perception robot

Abstract

This application discloses a service quality evaluation method, device and storage medium for sensing robots, which can obtain customer distribution information and robot location information in a service area, and divide the service area into concentrated areas and sparse areas according to the customer distribution information. area, and setting the central point of the concentrated area as the target point can enable the sensing robot to move to areas with more customers and collect as many service quality evaluations as possible; at the same time, according to the location information of the robot and the Obtain the reachable area of ​​the target point, obtain the potential moving range and unreachable area according to the customer distribution information, calculate the moving path according to the reachable area and the unreachable area, and effectively avoid the collision between the sensing robot and the customer during the moving process ; and obtain the service quality evaluation according to the acquired facial image and the trained multi-color channel sorting network, which can accurately and quickly obtain the service quality evaluation.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a service quality evaluation method, device and storage medium of a perception robot. Background technique [0002] At present, the service industry and government service organizations are paying more and more attention to service quality. Customer evaluation is the most intuitive manifestation of service quality. In order to obtain customer evaluation, traditional methods mainly rely on questionnaires, which not only consume a lot of manpower, but also occupy customers. More time, the customer's participation enthusiasm is not high. [0003] With the development of image recognition technology, it is already possible to obtain the user's facial image through the camera and recognize the corresponding expression. In order to reduce manual operations and improve the degree of automation, some perception robots have appeared on the market, equipped with image pro...

AI Technical Summary

Problems solved by technology

However, customers do not stay in a fixed place, but may walk around in the service area. If the sensing robot only moves along a fixed route, it is easy to collide with the customer. Although some sensing robots can also be equipped with existing obstacle avoidance algorithms, However, customers are not evenly distributed in the service area. Using the obstacle avoidance algorithm can easily make the sensing robot operate in areas with few customers, and cannot normally collect the data required for service quality evaluation.

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