Indoor Camera Privacy Control via Occupancy Detection
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Solution Overview
Problem
Existing home security and automation systems do not allow for automatic deactivation of monitoring components based on occupant presence, leading to a lack of privacy for homeowners when they are in their own homes.
Innovation Solution
The system detects occupants using facial recognition and other methods, allowing homeowners to input privacy preferences that enable automatic disabling of video and audio monitoring components in their presence, while maintaining monitoring in other areas of the home.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous monitoring is maintained to detect intruders and monitor household activity, then security and monitoring effectiveness is improved, but occupant privacy is compromised
Solution Approach 1:
The monitoring system dynamically adjusts its operation state based on real-time occupancy detection. When occupants are detected via facial recognition, the system transitions from an active monitoring state to a privacy-protective disabled state for specific cameras. This dynamic state change allows the system to maintain security when needed while automatically affording privacy when occupants are present, resolving the contradiction between continuous monitoring and privacy protection.
2Object-affected harmful factors
If manual deactivation of monitoring components is implemented to protect privacy, then occupant privacy is improved, but system automation and convenience deteriorate
Solution Approach 1:
The system employs facial recognition technology to automatically identify occupants and autonomously deactivate monitoring components in their presence without requiring manual intervention. The cameras and processing unit work together to detect faces, identify occupants, and automatically adjust monitoring settings. This self-service mechanism eliminates the need for manual deactivation while maintaining privacy protection, thereby preserving both privacy and system automation.
3Object-affected harmful factors
If all video monitoring components are disabled to ensure complete privacy, then privacy protection is improved, but security coverage and monitoring capability deteriorate
Solution Approach 1:
The system applies different monitoring states to different spatial locations based on real-time occupancy detection. When an occupant is detected in a specific area, only the monitoring components in that local region are deactivated, while cameras in other areas without occupants remain active. This localized privacy protection approach ensures that privacy is afforded where needed while security coverage is maintained in other parts of the home, resolving the contradiction between complete privacy and comprehensive security.
Data Source
AI summary
Methods, systems, and devices related to memory, including read or write performance of a phase change memory, are described. A plurality of memory cells of a memory array may be read. A total number of read errors resulting from the read operation of the plurality of memory cells may be determined, and reference read currents may be adjusted if the total number of read errors exceeds an error threshold. In some examples, adjusting reference read currents includes reading a reference memory cell, determining a current shift for the reference memory cell, and adjusting read currents for other memory cells of the memory array by a current delta based at least in part on the current shift.