Doorbell Control System Using Calendar Data for Differentiated Actions
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Solution Overview
Problem
Conventional doorbell systems require direct user response upon activation, leading to potential missed notifications and inefficient visitor management, as they lack the ability to perform differentiated actions based on user schedules and preferences.
Innovation Solution
A computer-implemented doorbell control method that associates doorbell data with calendar data to perform differentiated actions, such as muting, changing notification modes, or sending proactive signals, and annotates the calendar with information about doorbell activations, utilizing IoT devices and machine learning to adapt to user preferences and activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional doorbell systems require direct user response upon activation, then the doorbell can alert the user of someone at the door, but the user may miss the notification if they do not respond within a certain period
Solution Approach 1:
The system performs preliminary actions by integrating with calendar applications to predict user availability before the doorbell rings. It proactively determines whether the user is likely to be available to answer based on calendar events, and prepares differentiated responses in advance, such as sending notifications to alternative devices or providing automated options, thereby preventing missed notifications without requiring immediate user response.
2Adaptability or versatility
If the doorbell performs a single standardized action upon activation, then the system remains simple, but it cannot adapt to different user schedules and situations
Solution Approach 1:
The system implements dynamic behavior by continuously adapting its response based on real-time calendar data and user patterns. The doorbell controller adjusts its actions dynamically - such as changing notification methods, timing, and target devices - based on the user's current schedule and historical behavior, allowing the system to be highly adaptable without requiring complex manual configuration.
Solution Approach 2:
The system provides self-service by automatically analyzing calendar data and user patterns to determine optimal notification strategies without requiring user intervention. The machine learning components enable the system to learn and adapt to user preferences autonomously, making complex adaptability decisions automatically based on observed behavior and contextual information.
3Loss of information
If the doorbell provides detailed information about each activation, then the user can be fully informed, but the information may clutter the user's calendar and attention
Solution Approach 1:
The system applies local quality by providing differentiated information presentation based on the specific context and user needs. Rather than uniformly displaying all doorbell information, it selectively presents relevant details based on the user's calendar context, the identified visitor type, and historical interaction patterns, thereby maintaining information completeness while avoiding unnecessary clutter in different situations.
Solution Approach 2:
The system uses partial action by selectively providing information based on what is truly necessary in each situation. It filters and prioritizes doorbell notification information, presenting only the most relevant details to the user based on contextual analysis, thereby preventing information overload while ensuring that critical information is never omitted.
Data Source
AI summary
A doorbell control method, system, and non-transitory computer readable medium for a doorbell, include causing a doorbell to perform a differentiated action based on doorbell data and calendar data of an electronic calendar, and annotating the calendar with information based on an activation of the doorbell.