Investigation Assistance System with Integrated Server Analysis
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Solution Overview
Problem
Existing investigation systems are inefficient in quickly identifying a suspect's vehicle for escape during incidents, as manual review of camera footage by investigators is time-consuming and inefficient, especially in diversifying incident forms.
Innovation Solution
An investigation assistance system with a user terminal and integrated server connected to multiple analysis servers, allowing for the selection and transmission of search requests based on object feature elements, and periodic monitoring of communication status to handle disconnections, enabling efficient search result display and notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If investigators manually review camera footage to identify suspect vehicles, then they can confirm incident details, but the process is time-consuming and inefficient
Solution Approach 1:
The patent replaces the manual mechanical review process with an automated image recognition system using AI servers. The system automatically analyzes camera footage to detect and identify suspect vehicles, substituting human investigators' manual work with automated computer vision technology, thereby reducing investigation time while maintaining accuracy
Solution Approach 2:
The system performs preliminary analysis of camera footage by automatically detecting vehicles and extracting feature information before investigators need to review the footage. By pre-processing the video data and identifying potential suspect vehicles in advance, the system prepares information ready for investigator review, significantly reducing the time required for detailed examination
2Adaptability or versatility
If multiple analysis servers are used to handle different object feature elements, then search capability is enhanced, but system complexity increases
Solution Approach 1:
The patent divides the analysis system into multiple specialized servers, each responsible for analyzing specific object feature elements such as vehicle characteristics, suspect appearance, or incident details. This segmentation allows each server to focus on particular types of data, enhancing the overall search capability while organizing complexity into manageable, modular components
Solution Approach 2:
The integrated server acts as an intermediary between the user terminal and multiple analysis servers. It receives search requests, distributes them to appropriate analysis servers based on the type of object feature elements needed, and aggregates the results. This intermediary layer simplifies the system architecture by providing a single point of contact for users while managing the complexity of multiple specialized servers in the background
Data Source
AI summary
A user terminal displays an analysis server selection screen showing a list of a plurality of analysis servers provided to respectively correspond to a plurality of different object feature elements relating to an incident or the like, and, on the basis of input of a retrieval condition including the object feature element of an object to be retrieved by a first analysis server selected from the analysis server selection screen, transmits, to an integrated server, a request to retrieve a corresponding object satisfying the retrieval condition. The integrated server transmits an instruction to retrieve the corresponding object to the first analysis server on the basis of the request to retrieve, receives a retrieval result from the first analysis server, and transmits the retrieval result to the user terminal.