Security System False Alarm Filtering via User Verification
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Solution Overview
Problem
The high incidence of false alarms in emergency response systems, such as home security systems, leads to inefficient use of resources and significant costs, with approximately 400,000 false alarms occurring annually in the U.S., resulting in estimated costs of over $8 million due to unnecessary dispatches and wasted manpower.
Innovation Solution
Implementing a system where triggered event notifications are filtered and eliminated before dispatch, using a combination of user verification through smartphones, artificial intelligence, and machine learning to distinguish between true and false alarms, allowing users to dismiss notifications without human intervention and reducing the load on call centers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If triggered warning signals are directly sent to the call center, then the response speed is fast, but the number of false alarms increases and resource efficiency decreases
Solution Approach 1:
The patent applies preliminary action by having the security system perform preliminary verification of alarm triggers before sending notifications to the call center. The system checks whether the triggered event is a genuine emergency or a false alarm by reviewing the alarm conditions and user status in advance, thereby filtering out false alarms before they reach the call center and improving resource efficiency while maintaining fast response for legitimate emergencies.
Solution Approach 2:
The patent implements self-service by enabling the security system to autonomously determine whether an alarm is genuine or false without requiring immediate human intervention. The system self-evaluates the alarm trigger conditions and makes decisions about whether to notify the call center, reducing the burden on call center operators and improving overall resource efficiency while maintaining rapid response capability.
2Measurement precision
If manual verification by service personnel is required, then the accuracy of alarm verification is high, but the service time and operational costs increase
Solution Approach 1:
The patent applies self-service by having the security system automatically verify alarm triggers and make decisions about genuine versus false alarms without requiring manual intervention from service personnel. The system autonomously evaluates alarm conditions, user status, and event characteristics to determine appropriate actions, thereby maintaining high verification accuracy while significantly reducing service time and operational costs.
Solution Approach 2:
The patent replaces the mechanical manual verification process with an automated electronic system that uses algorithmic decision-making. Instead of human operators manually checking alarm conditions, the system uses automated logic to evaluate trigger events, compare them against established criteria, and make verification decisions, thereby maintaining accuracy while eliminating time-consuming manual procedures.
3Reliability
If all alarm signals are processed by the call center, then the completeness of service coverage is high, but the cost of false alarm processing increases significantly
Solution Approach 1:
The patent applies the extraction principle by separating false alarm signals from genuine alarm signals and removing false alarms from the processing pipeline before they reach the call center. The system extracts and filters out false alarms through automated verification mechanisms, allowing the call center to focus only on genuine emergencies, thereby maintaining complete service coverage for legitimate alerts while significantly reducing operational costs associated with processing false alarms.
Solution Approach 2:
The patent introduces an intermediary verification layer between the security system and the call center. This intermediary layer, implemented through automated alarm evaluation logic, acts as a mediator that screens all alarm signals before they are transmitted to the call center, ensuring that only verified genuine alarms are processed while false alarms are filtered out, thereby maintaining service completeness for legitimate emergencies while reducing operational costs.
Data Source
AI summary
Methods of and devices for automatically reducing and/or eliminating false alarms to the call centers are disclosed. The method of reducing a false alarm notification to a call center can comprise receiving a triggered event notification on a mobile device, requesting a user to unlock the mobile device, and requesting the user to confirm a triggered alarm or dismiss the trigger notification using the mobile device using a non-GUI based user interface.