Smart Door Identity Recognition for Personalized Entry Services

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Solution Overview

Problem

Current video surveillance systems at building entrances primarily focus on unlocking doors based on individual subject recognition without considering correlated user information, failing to enhance user experience beyond access control.

Innovation Solution

A method and system for smart door operation that utilize image data from cameras to determine gait and facial features, providing identity information and sending unlocking signals, while also offering additional services such as personalized information and home automation based on recognized identities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If video surveillance systems use individual subject recognition for door unlocking, then door access function is achieved, but user experience enhancement is insufficient

Engineering Contradiction:
Improveuser experienceVSAvoidservice provision capability
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system integrates multiple recognition methods (gait recognition, facial recognition, voice recognition) and provides diverse services (door unlocking, personalized information, home automation) through a single unified platform, enabling one system to perform multiple functions and enhance user experience beyond basic access control

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The server acts as an intermediary that receives image data from cameras, processes it through multiple recognition models, correlates user information, and delivers personalized services. This intermediary layer enables the system to bridge the gap between basic recognition and enhanced user experience by providing intelligent processing and correlation capabilities

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If the system provides multiple recognition methods and services, then user experience is enhanced, but system complexity increases

Engineering Contradiction:
Improveuser experienceVSAvoidsystem complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system divides the complex recognition task into separate independent modules: gait recognition model, facial recognition model, and voice recognition model. Each module can be trained, processed, and maintained independently, reducing the complexity of managing a multi-method recognition system while still providing comprehensive user experience enhancement

Inventive Principle:
Principle #1Segmentation

3Adaptability or versatility

If the system processes and correlates user information, then personalized services are provided, but information processing requirements increase

Engineering Contradiction:
Improvepersonalized service capabilityVSAvoidinformation processing load
Core Design Contradiction:
Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system pre-processes and stores user information (images, gait data, facial features, voice patterns) in advance before actual access events occur. This preliminary action allows the system to quickly retrieve and correlate relevant information during real-time door access operations, reducing the information processing load during critical moments while still providing personalized services

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11403899B2Smart door system
Publication Date: 2022.08.02 SHANGHAI TRUTHVISION INFORMATION TECH CO LTD
  • US11403899B2 patent drawing
  • US11403899B2 patent drawing
  • US11403899B2 patent drawing

AI summary

A method for smart door operation implemented on a computer may include obtaining image data of one or more subjects. The image data may be acquired by one or more cameras in communication with the computer. The method may also include determining, based on the image data, one or more gait features of at least one of the one or more subjects and determining, at least in part based on the one or more gait features, identity information of the at least one of the one or more subjects. The method may further include sending an unlocking signal to a lock based on the unlocking signal so that the lock is unlocked.