Doorbell Community Data Sharing via Segmented Visitor Profiles

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Solution Overview

Problem

Existing doorbell systems do not effectively share visitor information across multiple doorbells, limiting the ability to monitor and communicate about suspicious activities or visitors across a neighborhood, which can hinder community safety and security.

Innovation Solution

A doorbell system that allows multiple doorbells to share data through a user group, enabling users to selectively share visitor information, including pictures and traits, across remote computing devices, even if they are not directly communicatively coupled, using a database and user interface to manage and display this information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If doorbell systems share visitor information across multiple doorbells through a user group, then community safety and security are enhanced, but system complexity and data management requirements increase

Engineering Contradiction:

Improvecommunity safetyVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system segments visitor information into distinct categories (pictures, traits, visit timestamps) that can be independently managed and shared. Each doorbell in the user group processes and shares only relevant portions of visitor data, reducing overall system complexity while maintaining community safety benefits

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

A centralized database serves as an intermediary component that receives, stores, and distributes visitor information among doorbells in the user group. This mediator handles data management complexity centrally, allowing individual doorbells to remain relatively simple while still enabling comprehensive information sharing across the neighborhood

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If users selectively share visitor information based on traits, then privacy control and user autonomy are improved, but information processing time and system overhead increase

Engineering Contradiction:

Improveprivacy controlVSAvoidinformation processing time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary classification of visitor information by traits and categories before sharing occurs. Visitor data is pre-processed and organized into shareable formats with associated privacy settings, so that when sharing is requested, the system can quickly retrieve and distribute only the relevant pre-processed information without real-time analysis delays

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Different levels of information sharing are applied to different visitor traits based on user preferences. Sensitive traits may be shared only with specific users or not at all, while non-sensitive traits are shared more broadly. This localized quality control allows privacy management without requiring comprehensive analysis of all visitor data

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS9230424B1Doorbell communities

Publication Date: 2016.01.05 SKYBELL TECH IP LLC

AI summary

Doorbells can send data to each other to enable a first doorbell user to warn a second doorbell user regarding a suspicious visitor. A first user can indicate a first trait of a visitor via a first remote computing device. The first user can create a user group to enable the members of the user group to use their doorbells to take pictures of suspicious visitors and to send the pictures of the suspicious visitors to other members of the user group.