Smart Surveillance Systems with Dynamic Occupant Notification
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Solution Overview
Problem
Remote monitoring systems in security and automation systems often invade occupants' privacy without their awareness, raising concerns about privacy and safety, as users may not want to alert individuals, such as babysitters or unauthorized entities, of their monitoring activities.
Innovation Solution
Implementing a system that allows remote access to monitoring systems while providing notifications to occupants when they are being monitored, using image capturing devices and dynamic notification settings based on the presence of individuals, with options to deactivate notifications for certain subjects or situations, such as empty spaces or unauthorized entries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If remote monitoring is activated without notifications, then security monitoring capability is improved, but occupant privacy is compromised
Solution Approach 1:
The notification system dynamically adjusts its behavior based on the identity of the monitored subject. The system uses facial recognition or database matching to identify individuals, then selectively applies notifications - alerting some subjects that they are being monitored while remaining silent for others. This dynamic adaptation resolves the contradiction by making the monitoring system both reliable (always monitoring) and privacy-respecting (selectively notifying).
2Object-affected harmful factors
If notifications are provided to all monitored subjects, then privacy is respected, but security events may be compromised
Solution Approach 1:
Different notification policies are applied to different local contexts - specifically, different subjects receive different treatment. Known trusted individuals (babysitters, family members) receive notifications respecting their privacy, while unknown or suspicious subjects do not receive notifications, allowing covert monitoring for security purposes. This local differentiation resolves the contradiction by applying the right notification strategy to each specific subject.
3Adaptability or versatility
If facial recognition is implemented to identify subjects, then selective notification is enabled, but system complexity increases
Solution Approach 1:
The system performs preliminary identification of subjects using facial recognition or database matching before the monitoring session begins. By pre-identifying and categorizing subjects (trusted vs. unknown), the system enables selective notification without adding complexity during the actual monitoring process. The complex identification work is done in advance, allowing simple real-time operation.
Data Source
AI summary
In some embodiments, the security and/or automation system, collectively referred to herein as automation system, may include a system for remotely monitoring a residence while respecting the privacy of occupants of the residence and the need for safety and security concerns. When a user is actively monitoring a residence, the system may provide a notification to occupants that remote monitoring is active. The remote monitoring may comprise video feed viewing of the residence, review of still images, audio review, and the like. The remote monitoring may allow review of multiple areas or rooms of a residence, the outside of a residence, and the like. The notifications may alert an occupant when a user is remotely viewing an audio feed, a video feed, images, or the like. However, the user may be disable the notifications if so desired.