Public Safety System with Feedback-Based Deescalation
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Solution Overview
Problem
Current public safety systems are inadequate in facilitating safe interactions between individuals and officials, often leading to avoidable mental or physical harm due to lack of deescalation tools and historical interaction data.
Innovation Solution
A feedback-based public safety method and system that utilizes a computing device to receive identification data from an individual, access historical interaction ratings, compare these ratings with threshold values, and initiate appropriate action sets to deescalate interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional emergency contact methods (dialing emergency numbers, using social media) are used, then individuals can contact third parties, but the process requires multiple tasks on different devices and direct interaction with officials which may be prohibited
Solution Approach 1:
The patent combines multiple functions (recording, emergency contact, information access) into a single integrated system that operates automatically. The body worn device merges camera recording, communication capabilities, and database access into one unified platform, eliminating the need to switch between multiple devices and tasks during emergency situations
Solution Approach 2:
The system automatically initiates emergency contacts and activates recording functions without requiring manual intervention from the individual. The automated nature of the system allows it to service itself by detecting critical situations and triggering appropriate responses, reducing the burden on users during stressful interactions
2Loss of information
If individuals interact directly with officials during critical situations, then real-time communication is possible, but the individual may be threatened or in danger
Solution Approach 1:
The body worn device serves as an intermediary between the individual and officials, providing automated recording and third-party contact capabilities that reduce the need for direct confrontation. The system mediates the interaction by automatically documenting events and enabling remote consultation with legal or support personnel without requiring the individual to directly engage with potentially threatening officials
Solution Approach 2:
The system performs preliminary actions by automatically activating recording functions and storing historical interaction data before critical situations escalate. This preparatory documentation and information retrieval occurs proactively, ensuring that evidence and context are preserved before threats materialize or situations deteriorate
3Productivity
If officials assess countless situations manually, then they can deescalate tension, but the process is time-consuming and some interactions result in harm
Solution Approach 1:
The system implements feedback mechanisms by automatically recording interactions and making historical data available for review. This creates a feedback loop where past interaction patterns can be analyzed to improve future assessments, and where automated documentation provides real-time feedback to officials and third parties about the current situation's context and history
Solution Approach 2:
The patent replaces manual assessment processes with automated systems including AI-powered analysis of recorded interactions, automatic pattern recognition, and algorithmic evaluation of situational data. This substitution of mechanical human assessment with automated computational analysis increases both the speed and consistency of situation evaluation while reducing human error and bias
Data Source
AI summary
A feedback based public safety method is provided. The method is implemented by a computing device and comprising receiving, from an external device of an individual, identification data of the individual associated with the external device, accessing from one or more databases, by the computing device of the user, ratings data specific to the individual, the ratings data is based on historical interactions of the individual, comparing the ratings data with one or more of a plurality of threshold values, determining, based on the comparing, whether the ratings data satisfies one or more of the plurality of threshold values, and initiating one or more of a plurality of actions sets responsive to the ratings data satisfying the one or more of the plurality of threshold values.