Alarm Notification Filtering via User Verification
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Solution Overview
Problem
Current home and personal security alarm systems and care helpline notification systems face inefficiencies due to a high ratio of false alarms, leading to wastage of resources such as manpower and time, as they require manual verification and response from service providers for each triggered warning signal.
Innovation Solution
Implementing a user-centric filtering system using mobile devices, which allows users to dismiss or verify false alarms through buttons, voice commands, or biometric verification, thereby reducing unnecessary notifications and resource allocation by processing and filtering alarm signals before they reach the call center.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual verification and response from service providers is required for each triggered warning signal, then reliability of alarm response is improved, but resource consumption (manpower and time) increases significantly
Solution Approach 1:
The system enables users to self-verify alarm triggers and make decisions about emergency response. Users receive notifications on their mobile devices and can confirm, deny, or request assistance based on their own assessment of the situation, eliminating the need for service providers to manually verify each alarm trigger.
Solution Approach 2:
The system performs preliminary verification and user notification before service providers are involved. By notifying users first and allowing them to make initial decisions, the system filters out false alarms early in the process, preventing unnecessary service provider resources from being consumed.
2Reliability
If a large ratio of false alarms occurs, then system sensitivity is improved, but resource wastage increases due to unnecessary manual verification
Solution Approach 1:
Users take responsibility for verifying alarm triggers and making decisions about their own safety and property. This self-service approach allows the system to maintain high sensitivity while users filter out false alarms based on their local knowledge and judgment, preventing resource wastage on unnecessary verifications.
Solution Approach 2:
The mobile device notification system acts as an intermediary between the alarm system and service providers. It provides users with the information needed to make informed decisions about false alarms, serving as a filtering layer that prevents false alarm resources from reaching service providers.
3Reliability
If service providers manually verify and respond to all alarm triggers, then service quality is maintained, but service time and cost increase significantly
Solution Approach 1:
Users perform the verification function that would otherwise require service providers. By notifying users of alarm triggers and allowing them to make decisions about service requests, the system maintains service quality for genuine emergencies while eliminating time consumption on false alarms.
Solution Approach 2:
The system performs preliminary user notification and verification before service providers are engaged. This preliminary action filters out false alarms early, allowing service providers to focus only on genuine emergencies and reducing overall service time and cost.
Data Source
AI summary
A method of the device for reducing false alarm notification to call center comprises receiving a triggered abnormal status notification by a user's device and having a user to assist processing information of the notification or filtering false alarms before the notification is transmitted to/processed by a call center. The filtering of the false alarms can be achieved by using a dismiss button on a touchscreen, receiving a user's voice command, and/or verifying the user's identity and permission level using one or more biometric identifiers.


