Always-On Incident Platform for Collaborative Alarm Verification
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Solution Overview
Problem
Existing residential and commercial monitoring and security systems face inefficiencies due to high false alarm rates, uncertainty in alarm causes, and unnecessary emergency service dispatches, exacerbated by the lack of collaborative incident response among multiple stakeholders.
Innovation Solution
An always-on platform (AOP) system integrating a premises device, cloud server, and mobile application enables real-time communication and collaboration among designated personnel to evaluate and respond to incident alerts, utilizing machine learning and third-party information to reduce false alarms and enhance response accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional alarm systems send signals to central stations with automated processes, then consistent responses to incidents are ensured, but false alarms and unnecessary emergency service dispatches increase
Solution Approach 1:
The patent introduces a video verification intermediary between the alarm signal and emergency service dispatch. Video feeds from premises cameras are transmitted to central station operators, who visually verify the incident before authorizing emergency service dispatch. This intermediary step filters out false alarms while maintaining reliable response to genuine incidents.
Solution Approach 2:
The system implements feedback loops where alarm signals trigger video verification, and the verification results feed back into the dispatch decision-making process. This feedback mechanism allows operators to confirm or dismiss alarms based on visual evidence, reducing false dispatches while maintaining response consistency for verified incidents.
2Object-generated harmful factors
If video services are used by central stations to reduce false alarms, then false alarm reduction is achieved, but operational costs and labor intensity increase significantly
Solution Approach 1:
The patent implements preliminary action by pre-configuring video cameras at premises locations and pre-establishing video transmission pathways before incidents occur. When alarms trigger, video feeds are already available and can be immediately transmitted to operators, eliminating the need for complex real-time video setup and reducing operational complexity during incident response.
Solution Approach 2:
The system uses video copies (recorded or live feeds) as evidence for verification rather than requiring operators to physically visit premises or use complex diagnostic tools. The video copy serves as a sufficient representation of the incident, simplifying the verification process while effectively reducing false alarms.
3Object-generated harmful factors
If crime confirmation is required before responding to incident reports, then unnecessary emergency service dispatches are reduced, but response time and operator stress increase
Solution Approach 1:
The patent implements preliminary crime confirmation through automated video verification processes that occur before emergency service dispatch. Video feeds are prepared and transmitted in advance, allowing operators to quickly confirm or dismiss incidents without delaying emergency response to verified threats. This preliminary verification reduces unnecessary dispatches while maintaining rapid response times for genuine incidents.
4Ease of operation
If a single person evaluates incident alerts, then decision-making is simple and quick, but certainty of real events and response accuracy decrease
Solution Approach 1:
The patent merges multiple verification elements (video feeds from multiple cameras, alarm sensor data, incident type information) into a single comprehensive evaluation process. Operators review consolidated information from multiple sources simultaneously, increasing certainty of real events while maintaining operational simplicity through unified interface and integrated data presentation.
Data Source
AI summary
An always on platform reporting incident alerts to key persons and facilitating key persons evaluating and responding to incident alerts is described herein. The platform includes a cloud application on a cloud server and a premises device at a premises. A plurality of sensors are coupled to the premises device via wired and wireless connections. The cloud application receives signals, status and information from the premises device. The cloud application obtains location and pertinent information about key persons. The cloud application evaluates actions to take in response to signals, status and information received from the premises device and additional devices and systems. The cloud application communicates an incident alert to key persons and provides real time, live information about the incident to key persons who use the cloud application to communicate with each other to evaluate the incident alert and plan actions in response, including video conference, text chat, and voice communication.