Audio-Triggered Video Surveillance for Privacy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Always-on video surveillance in private settings raises privacy concerns and reduces effectiveness due to the need for manual operation, as homeowners may feel uncomfortable with continuous recording and worry about unauthorized access to footage.
Innovation Solution
Implementing a computer system that uses embedded voice, speech, or sound recognition to automatically trigger video recording based on predefined conditions, allowing localized and controlled activation of video cameras, ensuring surveillance only occurs when needed and minimizing privacy risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If always-on video surveillance is implemented, then security effectiveness is improved, but privacy concerns increase
Solution Approach 1:
The system uses periodic audio sampling combined with event-triggered activation. Instead of continuous video recording, the system periodically checks for trigger conditions (predefined voices, speech phrases, or environmental sounds) and only activates video recording when these conditions are met, thereby maintaining security effectiveness while reducing privacy intrusion
Solution Approach 2:
The patent extracts only the necessary audio processing function from the video surveillance system. By separating audio monitoring (which runs continuously) from video recording (which triggers only on events), the system maintains security monitoring capability while eliminating unnecessary continuous visual surveillance that causes privacy concerns
2Object-affected harmful factors
If manual disable/enable of video surveillance is allowed, then privacy concerns are mitigated, but security effectiveness reduces
Solution Approach 1:
The system provides self-service security monitoring by automatically detecting trigger conditions and activating video recording without requiring manual user intervention. The embedded recognition component continuously monitors audio and autonomously determines when security events occur, eliminating the need for users to manually manage surveillance activation while maintaining both privacy and security
3Object-affected harmful factors
If manual operation is required, then privacy control is improved, but ease of operation deteriorates
Solution Approach 1:
The system eliminates manual operation requirements by implementing self-service functionality. The embedded recognition component automatically detects predefined trigger conditions in audio signals and activates video recording accordingly, providing both privacy control through selective recording and excellent ease of operation through complete automation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach balances privacy and security by enabling video surveillance only in authorized situations, maintaining effectiveness comparable to always-on systems while reducing intrusive recording and minimizing the risk of unauthorized access to audio data.
Implementation Method 1
recognize, via an embedded recognition component, a voice, speech phrase, or environmental sound in the audio signal
Implementation Method 2
recognize, via an embedded recognition component, a voice, speech phrase, or environmental sound in the audio signal
Implementation Method 3
recognize, via an embedded recognition component, a voice, speech phrase, or environmental sound in the audio signal
Implementation Method 4
automatically transmit a signal to one or more video capture devices to begin video recording
Data Source
AI summary
Techniques for automatically triggering video surveillance using embedded voice, speech, or sound recognition are provided. In one embodiment, a computer system can receive an audio signal captured from an area to be monitored via video surveillance. The computer system can further recognize, via an embedded recognition component, a voice, speech phrase, or environmental sound in the audio signal, and can determine that the recognized voice, speech phrase, or environmental sound corresponds to a predefined trigger condition. The computer system can then automatically transmit a signal to one or more video capture devices to begin video recording of the area.