Gunfire Detection Semaphores for Dynamic Evacuation Guidance
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Solution Overview
Problem
Current gunfire detection systems in buildings require human intervention for interpretation, leading to delays in alerting authorities, and occupants face challenges in determining safe evacuation routes during emergencies, especially when under stress, due to the complexity of pre-planned evacuation methods and potential inaccuracies in identifying gunfire sources.
Innovation Solution
A firearm discharge detecting and semaphoring system that uses in situ detectors and cloud-based machine learning to automatically determine safety and communicate evacuation routes through visual and audio signals via semaphores, which can interface with various detection systems, including fire detection, and communicate via wireless protocols to guide occupants to safety zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If human intervention is used to interpret sensor output, then system complexity is reduced, but response time increases significantly
Solution Approach 1:
The patent introduces an automated sensor interpretation system that acts as an intermediary between the acoustic sensors and the alarm notification system. This intermediary automatically analyzes sensor data, determines gunfire events, and triggers alerts without requiring human intervention, thereby eliminating the time delay while maintaining manageable system complexity through specialized software algorithms.
Solution Approach 2:
The system enables self-service by allowing the detection system to automatically interpret its own sensor output and make determination about gunfire events. The automated analysis and decision-making capabilities allow the system to serve itself without external human intervention, achieving both rapid response time and operational autonomy.
2Loss of time
If automated sensor interpretation is implemented, then response time is reduced, but device cost and computational burden increase
Solution Approach 1:
The patent extracts the complex computational burden from the edge devices and relocates it to a centralized cloud-based processing system. The distributed acoustic sensors perform only simple data collection and transmission, while the heavy lifting of sensor interpretation and gunfire determination is performed remotely in the cloud, reducing the computational requirements at each deployed device while maintaining automated rapid response.
3Ease of manufacture
If pre-planned evacuation routes are used, then evacuation planning is simplified, but effectiveness decreases during active shooter emergencies
Solution Approach 1:
The patent transforms static pre-planned evacuation routes into dynamic, real-time adaptive guidance systems. The system continuously monitors the emergency situation, determines the location and direction of gunfire threats, and dynamically updates evacuation route recommendations to guide occupants away from danger zones in real-time, making the evacuation guidance both easy to implement and highly effective during active shooter emergencies.
Solution Approach 2:
The system incorporates real-time feedback by continuously monitoring sensor data about the emergency situation and using this information to adjust and update evacuation route recommendations. The feedback loop ensures that evacuation guidance remains current and effective throughout the emergency event, adapting to changing threat conditions rather than relying on static pre-planned routes.
4Device complexity
If occupants must determine safety and evacuation routes under stress, then system complexity is reduced, but decision accuracy decreases
Solution Approach 1:
The patent introduces an automated information system that acts as an intermediary between the emergency situation and the occupants. This system automatically analyzes sensor data to determine safety conditions and calculates optimal evacuation routes, then communicates this processed information to occupants through alerts and guidance signals. This intermediary handles the complex decision-making process, freeing occupants from having to make accurate decisions under stress while maintaining low system complexity through automated processing.
Data Source
AI summary
A semaphore for guiding an occupant to safety during an emergency event communicates with a gunfire detector to provide a visual cue conveying whether it is safe to proceed through an entryway in an active shooter event.