Scheduling Computing Device for Public Safety Interviews

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Solution Overview

Problem

In public safety scenarios, there is a need for real-time information and resource allocation during interviews, as the time between identifying a person of interest and scheduling an interview is often underutilized, and real-time information about incidents, such as weapon disposal, is critical for effective investigation.

Innovation Solution

An electronic scheduling digital assistant is reconfigured to provide real-time information by accessing existing case records, identifying relevant locations, and deploying mobile imaging devices prior to an interview window, enabling real-time data collection and validation of statements during interviews.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If traditional scheduling methods are used for public safety interviews, then administrative simplicity is maintained, but real-time information collection and evidence preservation are compromised

Engineering Contradiction:
Improvereal-time informationVSAvoidscheduling system complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by automatically deploying mobile imaging devices to locations of interest before the interview window begins. The scheduling system accesses case records, identifies relevant locations, and proactively positions imaging resources in advance, ensuring real-time information is captured before evidence can be lost or altered.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The scheduling system serves itself by automatically accessing existing case records, analyzing them to identify locations of interest, and triggering deployments without requiring manual intervention. The system self-manages the entire workflow from case record analysis to resource deployment, reducing administrative burden while improving information capture.

Inventive Principle:
Principle #25Self-service

2Reliability

If mobile imaging devices are deployed in advance to all potential locations, then real-time information availability is improved, but resource allocation efficiency deteriorates

Engineering Contradiction:
Improveevidence preservationVSAvoidresource allocation efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system applies local quality by deploying mobile imaging devices only to specific locations of interest identified from case records, rather than uniformly deploying to all potential locations. Resources are concentrated where they are most needed based on the specific case context, improving both evidence preservation and resource efficiency.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system changes the parameter of resource deployment from static/pre-positioned to dynamic/on-demand based on case-specific analysis. By analyzing case records and identifying specific locations of interest, the system optimizes the timing and location of resource deployment, ensuring resources are available when and where needed without wasteful over-deployment.

Inventive Principle:
Principle #35Parameter changes

3Speed

If manual resource coordination is used for interviews, then system simplicity is maintained, but response time and information accuracy worsen

Engineering Contradiction:
Improveresponse timeVSAvoidscheduling system complexity
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The system replaces the mechanical manual coordination process with an automated electronic scheduling system. The electronic system accesses case records, identifies locations, and deploys resources automatically, eliminating the delays inherent in manual coordination while managing complexity through standardized digital workflows.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The scheduling system incorporates feedback loops by continuously monitoring case record updates and automatically adjusting resource deployment decisions. The system receives feedback from case information, processes it through automated analysis, and triggers appropriate deployment actions, creating a responsive closed-loop system that improves response time.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20240356771A1Scheduling computing device and method for scheduling
Publication Date: 2024.10.24 MOTOROLA SOLUTIONS INC
  • US20240356771A1 patent drawing
  • US20240356771A1 patent drawing
  • US20240356771A1 patent drawing

AI summary

A method for scheduling is described. At a scheduling computing device, the method comprises: receiving interview scheduling information that comprises one or more existing electronically-stored case records and at least one interview window time parameter associated with an interview window for a public safety related interview of an interviewee by an interviewer; accessing and processing information contained in the electronically-stored case records, responsive to the at least one interview window time parameter, and identifying one or more locations of interest likely to be relevant to the interview. The method further comprises determining that one or more mobile imaging devices is available prior to the start of the interview window; and causing the one or more available mobile imaging devices to be deployed to the one or more locations of interest prior to the start of the interview window.