Investigation Assist System for Vehicle Route Visualization
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Solution Overview
Problem
Current systems fail to quickly and accurately determine the escape route of a getaway vehicle during incidents at busy intersections, relying on manual analysis of videos and eyewitness accounts, which delays the initial investigation process.
Innovation Solution
An investigation assist system with multiple cameras at intersections, a processor, and a storage device that records road map information and video data, allowing for the retrieval and visualization of a getaway vehicle's route based on designated conditions such as time and vehicle features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual analysis of captured videos and eyewitness information is used to determine escape routes, then the investigation process can be conducted with simple equipment, but it takes too much time to grasp the escape route of the getaway vehicle
Solution Approach 1:
The patent replaces the manual mechanical analysis process with an automated computer-based image processing system. The processor automatically extracts vehicle images from captured videos, identifies getaway vehicles based on designated conditions, and determines escape routes without requiring manual video analysis by investigators, thereby significantly reducing the time loss while introducing automation.
Solution Approach 2:
The system enables self-service by allowing the investigation assist device to automatically perform the complete escape route analysis process. The processor independently retrieves captured videos, extracts vehicle images, identifies target vehicles based on search conditions, tracks their movement across multiple camera views, and generates escape route information without requiring continuous human intervention throughout the investigation process.
2Loss of time
If captured videos from multiple cameras are manually analyzed to create escape routes, then the system can remain simple in structure, but it is difficult to early create and visually present the escape route on the map
Solution Approach 1:
The investigation assist device performs multiple functions within a single integrated system: it retrieves and processes captured videos, extracts vehicle images, identifies target vehicles based on search conditions, tracks movement across intersections, and generates visual escape route presentations on maps. This multi-functional approach enables early creation and visual presentation of escape routes while managing system complexity through integration rather than separate specialized components.
Solution Approach 2:
The patent introduces an intermediary processing layer between the raw captured videos and the final escape route presentation. The processor acts as an intermediary that automatically extracts meaningful information (vehicle images, movement patterns) from the video data and transforms it into structured escape route information that can be visually presented on maps, bridging the gap between raw data and actionable intelligence.
3Productivity
If police rely on captured videos and eyewitness information to manually create escape routes, then the equipment requirements remain minimal, but the initial investigation process is delayed
Solution Approach 1:
The patent replaces the manual mechanical process of video analysis and escape route creation with an automated computer-based system. The processor automatically retrieves captured videos, extracts vehicle images, identifies getaway vehicles based on designated conditions, tracks their movement, and generates escape route information, thereby significantly improving investigation productivity while introducing automation to replace manual analysis workflows.
Data Source
AI summary
An investigation assist device includes a processor and a storage that records information on a road map including a plurality of intersections and captured videos of a plurality of cameras in correlation with a capturing time, camera information, and intersection information. The processor retrieves at least one vehicle satisfying a retrieval condition and extracts a traveling direction of the vehicle when passing through each of the plurality of intersections based on the captured videos of the plurality of cameras in response to a designation of the retrieval condition including information on time when an incident occurs and feature information on a vehicle causing the incident. The processor superimposes a traveling route of the vehicle on the road map based on the traveling direction extracted for each of the intersections and outputs the traveling route to an output unit.