Vehicle Detection System Intersection Tracking
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Solution Overview
Problem
Existing vehicle detection systems fail to efficiently track getaway vehicles from intersections with high foot and vehicle traffic, making it difficult to narrow down the getaway route and detect suspects quickly after an incident.
Innovation Solution
A vehicle detection system comprising a server connected to multiple cameras at intersections and a client terminal that displays vehicle features and passing directions, allowing for the designation of a tracking target vehicle and predicting its next intersection based on current time and direction, thereby facilitating early detection of suspects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple cameras are disposed at intersections to capture vehicle images, then the information amount and coverage are improved, but the time and effort to manually search through multiple camera feeds to track a getaway vehicle increases
Solution Approach 1:
The patent replaces manual mechanical search through multiple camera feeds with an automated image processing system that uses AI algorithms to detect, track, and follow getaway vehicles across camera networks, significantly reducing tracking time while handling multiple camera inputs simultaneously
Solution Approach 2:
The system enables self-service tracking by automatically analyzing camera images, identifying getaway vehicles based on incident location and time, and autonomously following the vehicle's path through the camera network without requiring manual intervention to switch between camera feeds
2Loss of information
If all camera information is displayed to the user, then complete information availability is improved, but the ease of operation and ability to quickly identify the getaway route deteriorates
Solution Approach 1:
The system extracts only the relevant camera information related to the getaway vehicle's path from the complete set of camera feeds, presenting selectively processed information that highlights the vehicle's location and movement route while filtering out unnecessary camera data
Solution Approach 2:
The patent introduces an intermediary image processing system that acts as a mediator between the multiple camera feeds and the user, automatically analyzing and synthesizing camera information to present a simplified view of the getaway vehicle's path without requiring users to manually navigate through all camera inputs
3Device complexity
If manual searching of camera feeds is used to track a getaway vehicle, then system complexity is reduced, but the productivity and speed of vehicle detection deteriorates
Solution Approach 1:
The patent replaces manual mechanical searching of camera feeds with automated image processing and AI-based vehicle detection systems that rapidly analyze multiple camera inputs simultaneously, dramatically increasing detection speed while the added automation and processing capabilities manage the increased system complexity
Data Source
AI summary
A client terminal displays, on a display device, a visual feature of each of a plurality of vehicles passing through an intersection at a location where an incident occurred and map data indicating a passing direction of each of a plurality of vehicles passing through the intersection and sends, in response to a designation of any one of the plurality of vehicles, an instruction to set the designated vehicle as a tracking target vehicle to the server. When the instruction is received, a server specifies a camera of the intersection at which the tracking target vehicle is highly likely to enter next based on at least a current time and a passing direction of the tracking target vehicle at the intersection and sends camera information of the specified camera to the client terminal. When the camera information is received, the client terminal displays, on the display device, a position of a camera corresponding to the camera information to be superimposed on the map data identifiably.