Investigation Assist System Using Multi-Server Video Analysis
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Solution Overview
Problem
Existing investigation systems are inefficient in quickly identifying suspects or getaway vehicles during incidents, as manual checking of camera images by investigators is time-consuming and labor-intensive, especially with the diversification of incident forms and the limited recall of eyewitnesses.
Innovation Solution
An investigation assist system comprising multiple servers and an integration server that performs video analysis of camera-captured data, processes object features, and integrates search results from different servers to efficiently narrow down suspects or getaway vehicles based on input features, facilitating rapid identification and display on a terminal device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual checking of camera images by investigators is performed, then thorough analysis of individual images is possible, but it takes time and is inefficient for quickly specifying suspects or getaway vehicles
Solution Approach 1:
The system segments the investigation task by dividing camera image analysis into multiple specialized servers, each processing different objects (e.g., person detection server, vehicle detection server, face recognition server). This segmentation enables parallel processing of different aspects of the investigation, reducing overall analysis time while maintaining thoroughness through specialized analysis in each segment.
Solution Approach 2:
The system performs preliminary action by automatically analyzing camera images and extracting object features (such as person characteristics, vehicle details, face images) before investigators need to review them. The integration server pre-processes大量 camera data, identifies potential suspects or getaway vehicles, and presents filtered results to investigators, saving significant review time while maintaining analysis quality.
2Productivity
If multiple servers process different objects simultaneously, then analysis speed and efficiency are improved, but system complexity increases
Solution Approach 1:
The integration server acts as an intermediary that coordinates between multiple specialized analysis servers and the terminal device. It receives analysis results from various servers, integrates them into a unified output, and presents comprehensive results to investigators. This intermediary approach enables parallel processing across multiple servers while maintaining system manageability through a central coordination point.
3Productivity
If automated video analysis is implemented across multiple servers, then identification efficiency is significantly improved, but system complexity and integration requirements increase
Solution Approach 1:
The integration server provides universal functionality by handling multiple types of analysis requests (person detection, vehicle detection, face recognition, etc.) through a single unified interface. It can integrate results from various specialized servers and present them in a consistent format to the terminal device, reducing the need for separate integration mechanisms for each analysis type and simplifying the overall system architecture.
Data Source
AI summary
An investigation assist system includes a plurality of servers and an integration server communicatively connected to a terminal and the plurality of servers. In response to reception of a video captured by a plurality of cameras, each of the plurality of servers performs a video analysis of an object with respect to an incident, with the plurality of servers processing different objects, respectively. Based on an input of a plurality of different object feature elements from the terminal, the integration server sends a search request for corresponding objects to the respective servers corresponding to the object feature elements, receives and integrates search results of the corresponding objects from the respective servers, and causes the terminal to display an integrated search result.