Emergency Dispatch Using IoT Sensor Corroboration
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Solution Overview
Problem
Emergency dispatch protocols are limited by the quality and quantity of information provided by stressed or untrained information providers, leading to inconsistencies and potential inaccuracies in emergency response decisions.
Innovation Solution
Integrate external sensor data from Internet of Things (IoT) devices to supplement and corroborate information provider inputs, using a computer-implemented emergency dispatch protocol that processes sensor data alongside provider responses to determine emergency type, priority, and appropriate response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If reliance on information provided by stressed or untrained individuals is used, then the system is simple to operate, but the accuracy of emergency response decreases
Solution Approach 1:
The patent introduces an intermediary system (automated dispatch system with AI assistance) that mediates between the stressed/untrained information provider and the emergency response decision-making process. This intermediary collects, validates, and supplements the limited information provided by callers with automated data gathering and expert system recommendations, thereby improving accuracy without requiring the caller to be trained or calm.
Solution Approach 2:
The patent replaces the mechanical reliance on human judgment and trained interrogation techniques with an automated electronic system. The dispatch system automatically asks structured questions, receives input, processes information through AI algorithms, and generates recommendations, substituting the mechanical human-dispatcher interaction with an automated electro-mechanical system that maintains ease of operation while improving accuracy.
2Measurement precision
If additional sensor data collection is implemented, then the accuracy of emergency assessment improves, but the device complexity increases
Solution Approach 1:
The patent applies universality by designing a multi-functional dispatch system that can collect and process various types of sensor data (audio, video, environmental sensors, GPS, wearable device data) through a single integrated platform. The system uses universal communication interfaces and standardized data processing protocols to handle diverse sensor types, thereby improving accuracy without proportionally increasing complexity.
Solution Approach 2:
The patent employs copying by creating virtual representations of the emergency scene through sensor data streams (audio recordings, video feeds, environmental sensor readings) that replicate the physical situation in the dispatch system's digital domain. These digital copies allow the system to analyze the emergency situation without physically being present at the scene, improving assessment accuracy while keeping the physical device structure relatively simple.
3Productivity
If real-time sensor data analysis is performed, then the speed of emergency response improves, but the processing requirements and system complexity increase
Solution Approach 1:
The patent applies preliminary action by pre-configuring the dispatch system with AI algorithms, decision trees, and processing protocols that are ready to immediately analyze sensor data when an emergency is detected. The system performs preliminary data validation, filtering, and prioritization actions automatically upon data receipt, enabling rapid response without requiring complex real-time processing decisions during the critical emergency moment.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors sensor data, analyzes it against established protocols, and provides real-time feedback recommendations to dispatchers. This feedback loop enables the system to adapt to changing emergency conditions and adjust response priorities dynamically, improving speed while using manageable processing complexity through iterative rather than monolithic processing.
Data Source
AI summary
A computer device generates a response to an emergency being reported by a plurality of sensor devices. The memory contains a sensor data engine and a determinant code calculator. The computer device determines the likelihood of an emergency based on received sensor data and, in some embodiments, answers received from an information provider. The sensor data engine receives external sensor data, determines data values associated with the external sensor data, and calculates an emergency likelihood based on the data values. The determinant code calculator generates a determinant code based on the calculated likelihood, and provides the code to an emergency responder system to generate an emergency dispatch response.