Reception Apparatus Automatic Face Registration for Personalized Service
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Solution Overview
Problem
Existing reception systems using robots require users to pre-register personal information for face matching, making it laborious and limiting the spread of such systems, and also struggle to provide personal conversations without pre-registered information.
Innovation Solution
A reception apparatus and system that acquires face information and conversation data, matches it against a database, and automatically registers user information when a match is not found, allowing for natural personal conversations without prior registration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users are required to pre-register personal information for face matching, then the system can provide personalized reception services, but the operation becomes laborious and system spread is limited
Solution Approach 1:
The system performs preliminary face information acquisition and registration automatically in the background before the user needs personalized service. The face information acquisition unit captures face images and extracts feature amounts, then the user information management unit automatically registers this information in the user information database without requiring user intervention, enabling subsequent personalized reception.
Solution Approach 2:
The system enables self-service by allowing users to be automatically identified through face matching without manual registration. When a user approaches, the face information acquisition unit automatically captures the face, the face matching unit compares it against registered information, and the user information management unit handles all registration and matching processes autonomously, making the system easy to use while providing personalized service.
2Ease of operation
If face matching is implemented without pre-registered personal information, then user interaction becomes more natural and accessible, but the system cannot provide personalized conversations
Solution Approach 1:
The system performs preliminary face information acquisition and registration automatically in the background before the user needs personalized service. The face information acquisition unit captures face images and extracts feature amounts, then the user information management unit automatically registers this information in the user information database without requiring user intervention, enabling subsequent personalized reception.
Solution Approach 2:
The system uses feedback from face matching results to dynamically provide personalized conversations. The face matching unit compares acquired face information against the user information database, and based on the matching result, the conversation processing unit retrieves appropriate reception information from the database to deliver personalized conversations, creating a feedback loop that enables adaptability without pre-registration.
3Adaptability or versatility
If the system automatically registers user information without pre-registration, then accessibility improves, but database management complexity increases
Solution Approach 1:
The system enables self-service by allowing users to be automatically identified through face matching without manual registration. When a user approaches, the face information acquisition unit automatically captures the face, the face matching unit compares it against registered information, and the user information management unit handles all registration and matching processes autonomously, making the system easy to use while providing personalized service.
Solution Approach 2:
The user information management unit performs multiple functions including face information acquisition, face matching, automatic registration, and database updates within a single integrated component. This multi-functionality consolidates database management tasks, reducing overall system complexity while enabling automatic user registration and personalized conversation delivery.
Data Source
AI summary
Provided are a reception apparatus, a reception system, a reception method, and a storage medium that can naturally provide a personal conversation in accordance with a user without requiring the user to register the personal information thereof in advance. A disclosure includes a face information acquisition unit that acquires face information of a user; a face matching unit that matches, against face information of one user, the face information registered in a user information database in which user information including the face information of the user and the reception information is registered; and a user information management unit that, when a result of matching of the face information performed by the face matching unit is unmatched, registers the user information of the one user to the user information database.


