Image-Assisted Field Verification for Public Safety Query Responses
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Solution Overview
Problem
Public safety officers face inefficiencies when verifying identification information at incident scenes, as they must compare multiple fields of information, consuming valuable time and reducing their attentiveness to other tasks.
Innovation Solution
A communication device system that performs image-assisted field verification by comparing captured images with query response information, prioritizing unverified or mismatching fields and de-prioritizing verified fields, allowing only relevant information to be displayed for verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If public safety officers manually compare multiple fields of information with captured images, then verification accuracy is improved, but time consumption increases
Solution Approach 1:
The verification process is segmented into automated image analysis and manual verification components. The system automatically extracts features from captured images and compares them with database information, presenting only relevant discrepancies for officer verification. This segmentation reduces time consumption while maintaining accuracy by dividing tasks between machine automation and human judgment.
Solution Approach 2:
The system performs preliminary automated verification by comparing captured images with stored information before presenting results to the officer. This preliminary action filters out clearly matched fields and only presents uncertain or mismatching fields for manual verification, significantly reducing the time required while maintaining high verification accuracy.
2Loss of information
If all query response fields are displayed for verification, then completeness of information is improved, but officer attentiveness deteriorates
Solution Approach 1:
The system extracts and displays only the relevant fields that require verification, separating them from already-verified information. By taking out only the uncertain or mismatching fields for display, the system maintains information completeness for the overall verification process while improving officer attentiveness by reducing visual clutter and focusing attention on critical items.
Solution Approach 2:
Different quality levels of verification are applied to different fields based on confidence scores. High-confidence matches are marked as verified without requiring attention, while low-confidence fields are highlighted for detailed verification. This local quality approach ensures complete information is considered while maintaining officer attentiveness by varying the verification depth across different fields.
3Productivity
If automated image analysis is implemented, then verification speed is improved, but system complexity increases
Solution Approach 1:
An intermediary processing layer is introduced between image capture and verification display. This intermediary automatically extracts features, compares them with database information, and prioritizes results for presentation. While this adds system complexity, it enables significant verification speed improvement by automating the most time-consuming comparison tasks, leaving only final verification decisions to the officer.
Data Source
AI summary
Processes and systems for displaying information received in a query response. One system includes a communication device including a user interface and an electronic processor. The electronic processor transmits a query, and receives a response to the query including stored information in each of a plurality of fields of information about an object of interest. The electronic processor receives an image of the object from a camera, identifies visually descriptive text information describing the object, and categorizes at least a portion of the visually descriptive text information into the plurality of fields of information. The electronic processor determines a confidence level for each field of information based on a comparison of the stored information and the visually descriptive text information in each field, and displays the stored information in one or more fields for which the confidence level of the comparison is below a predetermined threshold.