Active-Microphone Control Panel for Wide-Area Security Detection
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Solution Overview
Problem
Conventional security/automation systems face limitations in detecting security events without requiring separate sensors, especially in ambient noise monitoring, and are constrained by physical hardware and range limitations.
Innovation Solution
A deconstructed security/automation system that utilizes a control panel with built-in microphones and AI algorithms to monitor ambient noise, detect security events, and communicate directly with a cloud system, enabling event detection and response without separate sensors and offering virtualized control and wide-area coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security systems use separate sensors for detecting security events, then detection capability is improved, but device complexity and hardware requirements increase
Solution Approach 1:
The patent combines multiple detection functions into the control panel by integrating microphones and AI algorithms. The control panel now performs both ambient noise monitoring and security event detection using built-in components rather than requiring separate sensors, thereby reducing device complexity while maintaining detection capability.
Solution Approach 2:
The control panel is designed to perform multiple functions including ambient noise monitoring, security event detection, and occupancy monitoring using the same built-in microphones and processing unit. This multi-functionality eliminates the need for separate dedicated sensors for each detection type.
2Measurement precision
If physical sensors are used for monitoring, then detection accuracy is improved, but range and coverage are limited
Solution Approach 1:
The patent replaces physical proximity-based sensors with acoustic field-based microphones and AI analysis. Sound waves can travel farther than physical sensor ranges, allowing the system to detect security events and monitor occupancy over extended areas while maintaining detection accuracy through AI-powered audio analysis.
3Area of stationary object
If multiple separate sensors are deployed for comprehensive monitoring, then coverage area is improved, but system cost and installation complexity increase
Solution Approach 1:
The system merges multiple detection functions into a single control panel unit with integrated microphones and AI processing. This consolidation reduces the number of components that need to be installed and configured, simplifying installation while maintaining comprehensive coverage through the panel's multi-functional capabilities.
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
Enables efficient detection of security events, such as glass breaks or fires, and occupancy monitoring, with reduced hardware requirements and extended range, allowing for seamless integration with IoT devices and cloud-based intelligence for enhanced security and automation capabilities.
Implementation Method 1
monitor, by a control panel, an ambient noise via one or more microphones in the control panel
Data Source
AI summary
Example implementations include a method, apparatus, and computer-readable medium comprising monitoring, by a control panel, an ambient noise via one or more microphones in the control panel. The implementations further include determining, by the control panel, whether the ambient noise is indicative of a security event. In some non-limiting implementations, the control panel may be configured to detect events based on various noise detection models, such as continued noise level above a threshold, noise associated with multiple short sharp impacts (e.g., an intruder trying to kick down a door), gunshot detection, voice recognition to identify a request for assistance (e.g., a person asking for help), glass break detection, or detection of a particular standardized pattern of beeps such as the temporal-three pattern of a smoke detector going off (according to ISO 8201 and ANSI/ASA S3.41 Temporal Pattern), the temporal-four pattern of a carbon monoxide detector going off, etc.