Panic Alert Mobile App Voice Code Silent Alarm
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Solution Overview
Problem
Conventional security systems are inadequate in protecting occupants from intruders who can enter a secured area without triggering perimeter sensors, as they rely on sensor activation for alerts, which may not always occur.
Innovation Solution
A panic alert mobile application on portable devices uses voice recognition and biometrics to detect predefined verbal codes, allowing users to send silent alarms to a central monitoring station even if the intruder has possession of the device, ensuring alerts are sent regardless of sensor status or system functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional sensor-based security systems are used, then perimeter protection is provided, but occupants cannot be protected from intruders who enter without triggering sensors
Solution Approach 1:
The security system is enhanced by integrating multiple detection methods including voice recognition, biometric authentication, and traditional sensor detection into a single universal system. The mobile device application can detect intruders through various means (voice codes, biometrics, motion) and trigger alarms through multiple channels (silent alerts, audible alarms, notifications to authorities), making the system adaptable to different intrusion scenarios and occupancy situations.
2Reliability
If sensors are distributed throughout the secured area, then detection coverage is improved, but false alarms may occur and system complexity increases
Solution Approach 1:
A mobile device running a security application serves as an intermediary between traditional sensors and the alarm system. The application consolidates multiple detection inputs (voice recognition, biometric data, sensor signals) and processes them through a unified algorithm that reduces false alarms. This intermediary layer simplifies the overall system architecture by centralizing detection logic while maintaining comprehensive monitoring capabilities.
3Object-affected harmful factors
If silent alerts are sent to external systems, then intruder awareness is minimized, but system complexity and power consumption increase
Solution Approach 1:
The voice recognition system operates in periodic intervals rather than continuously, listening for specific trigger phrases at scheduled times or when motion is detected. This periodic operation significantly reduces power consumption compared to continuous monitoring while maintaining effective intruder detection capability. The system can transition between low-power and active states based on environmental cues.
Data Source
AI summary
Disclosed is an apparatus that embodies a method including a panic alert mobile application of a security system that protects a secured geographic area executing on a portable electronic device of an authorized user, the panic alert mobile application retrieving a predetermined word sequence associated with the authorized user, the panic alert mobile application continuously monitoring spoken words of the authorized user, the panic alert mobile application detecting the predetermined word sequence in the spoken words of the authorized user and the panic alert mobile application reporting a panic alert to a central monitoring station of the security system.