Smart Camera Privacy Protection via People Recognition
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Solution Overview
Problem
Current wireless security cameras lack effective privacy protection mechanisms for live and recorded videos, particularly in recognizing and responding to registered individuals, leading to potential unauthorized access or exposure of sensitive information.
Innovation Solution
A server computer or smart security camera system equipped with people recognition and privacy settings, which captures and processes video feeds to obscure or delete footage of registered persons when privacy settings are activated, using human feature databases and learning classifiers for identification and alert generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video recording is continuously performed to capture all activities, then complete monitoring coverage is achieved, but privacy exposure of registered individuals increases
Solution Approach 1:
The system performs preliminary actions by pausing recording before privacy violation occurs and resuming after it ends. The processor detects when a registered individual enters the field of view and proactively pauses recording, preventing privacy exposure before it happens. This is implemented through continuous monitoring of video feeds, recognition of registered individuals, and automatic control of recording operations based on their presence.
Solution Approach 2:
The system uses feedback mechanisms where the processor continuously analyzes video content, recognizes registered individuals, and adjusts recording operations accordingly. When a registered individual is detected, the system feedbacks to pause recording; when they leave, it feedbacks to resume recording. This closed-loop control ensures monitoring coverage is maintained while protecting privacy dynamically.
2Object-affected harmful factors
If privacy protection is implemented by pausing or deleting recordings of registered persons, then privacy security is improved, but loss of monitoring information occurs
Solution Approach 1:
The system segments video recording into protected segments (when registered individuals are present) and non-protected segments (when they are absent). By dividing the continuous recording into discrete segments based on the presence of registered individuals, the system preserves only necessary monitoring information while eliminating privacy-violating portions. This segmentation allows selective retention of video data.
Solution Approach 2:
The system applies different quality treatments to different portions of video recording. Video segments containing registered individuals receive privacy protection (pausing or deletion), while segments without them maintain full recording quality. This local differentiation ensures that privacy security is enhanced specifically where needed without compromising overall monitoring information.
3Speed
If continuous video streaming is performed for remote viewing, then real-time monitoring capability is improved, but network bandwidth consumption increases
Solution Approach 1:
The system implements periodic action by pausing video streaming during periods when registered individuals are present and resuming when they are absent. Instead of continuous streaming, the system periodically activates and deactivates based on detection events. This reduces network bandwidth consumption during privacy-sensitive periods while maintaining real-time monitoring capability when needed.
Solution Approach 2:
The system performs preliminary detection of registered individuals before initiating video streaming. When a registered individual is detected entering the field of view, the system proactively pauses streaming in advance, preventing unnecessary bandwidth consumption. This preliminary action allows the system to maintain real-time monitoring readiness while optimizing network resource usage.
Data Source
AI summary
A method to provide privacy protection on a video includes performing people recognition on the video, when a registered person is recognized, determining if a privacy setting is turned on, and, when the privacy setting is turned on, performing privacy protection on the video. Performing privacy protection on the video includes pausing a recording of a live video, obscuring the registered person in the live video or a recorded video, or skipping ahead or deleting part of the recorded video.