Smart Home Occupancy Detection and Do-Not-Disturb Coordination
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Solution Overview
Problem
Current smart home systems lack comprehensive integration of intelligent, multi-sensing, network-connected devices that can autonomously manage and secure environments by analyzing occupancy data, adjusting device functionality, and sharing status information with remote entities, leading to inefficiencies in home security and automation.
Innovation Solution
The implementation of intelligent, multi-sensing, network-connected devices that communicate with each other and a central server or cloud-computing system to manage smart environments by analyzing occupancy data, enabling do-not-disturb modes, adjusting device functionality, and sharing status information, creating a mesh network for enhanced security and automation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If smart home systems integrate multiple sensing devices and network connectivity, then security and automation capabilities are improved, but device complexity increases
Solution Approach 1:
The system segments functionality by assigning specific sensing and control tasks to individual smart devices (e.g., motion sensors, temperature sensors, smart locks) while a central server coordinates overall operation. This distributes complexity across multiple specialized components rather than requiring a single complex system.
Solution Approach 2:
A central server acts as an intermediary between multiple smart devices, handling data aggregation, processing, and coordination. This mediator absorbs the complexity of managing device communications and logic, allowing individual devices to remain simpler while enabling sophisticated overall system behavior.
2Reliability
If the system continuously monitors and processes occupancy data from multiple sensors, then security and comfort are improved, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system employs periodic sampling of sensor data at strategically determined intervals. The monitoring frequency is adjusted based on occupancy status, event detection, and time of day, reducing energy consumption during low-risk periods while maintaining security during critical times.
Solution Approach 2:
The system automatically adjusts its own monitoring intensity based on detected conditions. When occupancy is detected or security events occur, monitoring frequency increases; during unoccupied periods, the system reduces sampling rates to conserve energy. This self-regulating mechanism optimizes the balance between detection accuracy and energy usage.
3Ease of operation
If the system implements automated do-not-disturb modes and visitor handling, then convenience and security are improved, but response time for manual interventions increases
Solution Approach 1:
The system pre-configures automated responses for common scenarios (e.g., do-not-disturb modes, visitor notifications, security alerts) before events occur. When triggering conditions are met, pre-programmed actions execute immediately without requiring manual intervention, reducing response time for routine events while maintaining convenience through automation.
Data Source
AI summary
This patent specification relates to apparatus, systems, methods, and related computer program products for providing home security/smart home objectives. More particularly, this patent specification relates to a plurality of devices, including intelligent, multi-sensing, network-connected devices, that communicate with each other and/or with a central server or a cloud-computing system to provide any of a variety of useful home security/smart home objectives.