Service Robot Reception Numbering With Customer Image Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current counter reception systems in financial and government institutions lack efficiency in managing customer interactions and services, particularly in assigning reception numbers and providing timely information to customers.
Innovation Solution
A counter reception system that includes a service robot capable of communicating with a reception device to assign and manage reception numbers, acquire customer image information, and store this information in association with the reception number, enabling improved customer service through automated ticket issuance and notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a traditional ticket issuing device is used to assign reception numbers, then the system is simple in structure, but the customer service efficiency and information management capability are insufficient
Solution Approach 1:
The patent combines multiple functions (ticket issuance, image capture, data association, notification) into an integrated service robot system. The service robot merges the reception number assignment function with customer identification through image acquisition, creating a unified system that handles both administrative tasks and customer interaction, thereby improving service efficiency without proportionally increasing complexity.
Solution Approach 2:
The service robot is designed with multi-functionality, serving as both a ticket issuing device and an identification system. It can assign reception numbers, capture customer images, associate data, and provide notifications through multiple channels (display, sound output). This universal device replaces multiple separate systems, improving productivity while managing complexity through integrated design.
2Loss of time
If manual reception ticket issuance is used, then the system requires minimal technology, but time consumption and human error are significant
Solution Approach 1:
The service robot enables self-service functionality where customers can interact with the system autonomously. The robot issues reception numbers automatically based on customer presence detection through image acquisition, without requiring manual intervention from staff. This self-service mechanism significantly reduces ticket issuance time while introducing appropriate automation levels.
Solution Approach 2:
The patent replaces manual mechanical ticket issuance with an automated system using image recognition and electronic data processing. The service robot uses image acquisition devices to identify customers and automatically assigns reception numbers, substituting the manual mechanical process with electronic automation, thereby reducing time loss and human error.
3Reliability
If reception numbers are assigned without customer identification, then the process is quick, but service personalization and error prevention are limited
Solution Approach 1:
The service robot performs preliminary identification of customers through image acquisition before assigning reception numbers. By capturing customer images and creating identification data in advance, the system ensures accurate matching and personalized service from the outset. This preliminary action improves service accuracy by preventing errors such as issuing tickets to the wrong person.
Solution Approach 2:
The system implements feedback mechanisms where customer images are captured, processed, and associated with reception numbers. The service robot can verify customer identity through image recognition and provide feedback to ensure correct ticket issuance. This feedback loop enhances reliability by allowing the system to confirm proper identification before completing the ticket issuance process.
Data Source
AI summary
A service robot is capable of communicating with a reception device that assigns at least a reception number. The service robot includes: an image information acquirer that acquires image information including an image of a customer; a reception number acquirer that acquires a reception number from the reception device, in response to a reception operation performed by the customer; and a storage unit that stores the acquired reception number and the acquired image information in association with each other.


