Image Retrieval Key Generation for Intersection Incident Reporting
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Solution Overview
Problem
Current systems fail to efficiently assist police in retrieving suitable images for incident or accident reports at busy intersections, requiring significant time and labor to extract relevant images, as they do not account for the specific situation at the time of the incident or accident.
Innovation Solution
An image retrieval assist device and method that connects cameras at intersections with a processor and storage, generating an image retrieval key based on event information to efficiently retrieve images indicating the incident or accident scenario, reducing the workload for police officers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If camera image information is displayed on a terminal device, then real-time monitoring capability is improved, but image retrieval efficiency for incident reports deteriorates
Solution Approach 1:
The system pre-generates image retrieval keys based on event types before incidents occur. When an incident is reported, the corresponding pre-defined retrieval key is immediately used to fetch relevant images, eliminating the need for manual image search and significantly reducing retrieval time while maintaining real-time monitoring capabilities
2Measurement precision
If manual image extraction is performed for incident reports, then image selection accuracy is improved, but work burden on police officers deteriorates
Solution Approach 1:
The system automatically performs image extraction and selection based on the incident type and pre-defined retrieval keys. The police officer only needs to input basic incident information, and the system autonomously retrieves and presents relevant images, maintaining high selection accuracy while dramatically reducing the officer's workload
3Loss of information
If comprehensive camera coverage is implemented at intersections, then situation awareness is improved, but system complexity deteriorates
Solution Approach 1:
The system segments the image retrieval process by creating separate retrieval key definitions for different event types (traffic accidents, pedestrian accidents, signal violations, etc.). Each event type has its own optimized retrieval key that specifies which cameras and time periods are relevant, making the complex multi-camera system manageable through structured categorization
Data Source
AI summary
An image retrieval assist device that is communicably connected to an investigation assist device for recording captured images of cameras installed at a plurality of intersections respectively in correlation with camera information and intersection information. The image retrieval assist device has a processor, a communication unit; and a storage that stores an extraction condition of an image for each type of event that has occurred at the intersection, the image indicating a situation at a time of occurrence of the event. The processor accepts an input of event information including the type of event. The processor generates an image retrieval key including the extraction condition according to the input event information. The communication unit transmits the generated image retrieval key to the investigation assist device.