Intelligent Robot Face Recognition Localization System
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Solution Overview
Problem
Current domestic service robots are unable to identify the location of a person to be served, which affects user experience.
Innovation Solution
An intelligent system comprising an intelligent robot and face recognition devices in wireless connection, where each device is installed at the entrance of a room to collect and transmit face information to the robot, allowing the robot to update a database and automatically identify the location of a subject to be served based on voice commands and face recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If face recognition devices and database systems are added to enable location identification, then the robot's ability to identify subject location is improved, but the device complexity increases
Solution Approach 1:
The system is divided into independent functional modules: face recognition devices at room entrances, wireless communication modules, a centralized database, and the intelligent robot. Each module performs a specific function (face capture, data transmission, data storage, location identification), allowing the complex task of location identification to be broken down into manageable segments that can be developed and maintained independently.
Solution Approach 2:
A wireless communication system and centralized database are introduced as intermediaries between the face recognition devices and the intelligent robot. The face recognition devices transmit data wirelessly to the database, which then provides location information to the robot, eliminating the need for direct complex point-to-point communication between all system components.
2Adaptability or versatility
If multiple face recognition devices are deployed at room entrances to track person locations, then the location identification capability is improved, but the manufacturing cost and device complexity increase
Solution Approach 1:
The face recognition devices are designed as universal units that can be deployed at any room entrance throughout the building. Each device performs the same multi-function: capturing face information, identifying the person, and transmitting location data to the centralized database. This standardized approach allows the system to scale to multiple rooms without increasing individual device complexity.
Solution Approach 2:
Instead of creating complex custom solutions for each room, the system uses identical copies of the face recognition device at each location. Each device is a simplified replica that performs the same core functions, and the intelligence is centralized in the database that processes data from all device copies.
3Speed
If real-time face information collection and database updates are implemented, then the responsiveness to voice commands is improved, but the energy consumption and processing requirements increase
Solution Approach 1:
The face recognition devices operate periodically rather than continuously - they activate when motion is detected or when someone approaches the entrance, capture face information, and then return to sleep mode. The database updates occur periodically when new face data is received, rather than maintaining constant real-time synchronization. This periodic operation reduces energy consumption while maintaining effective responsiveness.
Solution Approach 2:
Face information is collected and stored in the database in advance, before voice commands are issued. When a user gives a voice command, the location information is already available in the database, eliminating the need for real-time processing during the command execution and reducing the energy burden at critical moments.
Data Source
AI summary
Intelligent systems capable of automatic localization and methods using the same are disclosed. An intelligent system includes an intelligent robot and a plurality of face recognition devices each in a wireless connection with the intelligent robot. Each face recognition device is disposed at the entrance of a room, and is configured to identify face information of people in the room and transmit the face information to the intelligent robot. The intelligent robot thus updates a database according to the face information and automatically identifies a location of a subject to be served based on the database. Thus, the present disclosure can automatically identify the location of the subject to be served.


