Sound-Based Emergency Bell Control System
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Solution Overview
Problem
Conventional emergency bell systems in indoor public places face challenges in quickly and accurately responding to emergencies due to the need for physical activation and high rates of false alarms, leading to inefficient dispatch of security personnel and increased anxiety, especially for women.
Innovation Solution
A sound-based emergency bell control system that uses an emergency bell device with a microphone to gather sound information, an analysis server for real-time classification of key sound sources using AI algorithms, and a control server to provide dispatch information, minimizing unnecessary responses and optimizing emergency response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sound-based security systems detect emergency by comparing decibel level to threshold, then emergency detection is achieved, but false alarms increase and reliability decreases
Solution Approach 1:
The patent introduces an analysis server as an intermediary between the emergency bell device and the response system. This server performs AI-based sound analysis to distinguish true emergencies from false alarm sources, thereby improving detection reliability while reducing false alarms generated by simple threshold comparison
Solution Approach 2:
The patent replaces the simple mechanical threshold comparison method with an AI-based sound analysis system. This substitution enables more sophisticated pattern recognition and classification of sound sources, significantly reducing false alarms while maintaining high reliability in detecting actual emergencies
2Ease of operation
If conventional emergency bell requires physical contact to activate, then device simplicity is maintained, but response time increases and ease of operation decreases
Solution Approach 1:
The patent replaces the mechanical button-press activation method with acoustic field-based detection using microphones and AI analysis. This substitution allows victims to activate emergency response without physical contact, significantly improving ease of operation and reducing response time in situations where victims cannot reach or press the button
Solution Approach 2:
The analysis server acts as an intermediary that automatically detects and validates emergency sounds, eliminating the need for physical activation. This automated mediation process both simplifies operation for victims and accelerates response time by immediately triggering alerts when emergencies are detected
3Reliability
If security personnel are dispatched for all emergency bell activations, then response coverage is ensured, but resource efficiency decreases due to false alarms
Solution Approach 1:
The patent implements a feedback mechanism where the analysis server continuously monitors sound patterns, learns from previous classifications, and adjusts its detection algorithms. This feedback loop improves response accuracy over time while reducing unnecessary personnel deployment by becoming more precise in distinguishing true emergencies from false alarm sources
Solution Approach 2:
The analysis server serves as an intelligent intermediary that filters and validates emergency alerts before triggering personnel deployment. This intermediary layer prevents wasteful energy expenditure on false alarms while ensuring reliable responses to genuine emergencies through AI-based sound classification
Data Source
AI summary
According to an embodiment of the disclosure, a system for controlling an emergency bell based on sound comprises an emergency bell device installed in a crime area, gathering sound information generated in the crime area, detecting an emergency event from the gathered sound information, and generating an emergency bell operation signal, an analysis server receiving, in real-time, the sound information from the emergency bell device if the emergency bell operation signal is received, classifying per-time key sound sources in the sound information, and providing a situation analysis result on whether a crime occurs using the classified per-time key sound sources, and a control server receiving the situation analysis result and providing on-site dispatch information or situation response information to a security terminal in charge of the crime area based on the received situation analysis result.