Road Safety Output Using Satellite Images and Event Data
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Solution Overview
Problem
Existing information processing devices fail to ensure road safety by considering factors beyond road brightness, such as crime and traffic events, leading to potential safety risks.
Innovation Solution
An output device that acquires satellite images and event information to calculate a comprehensive safety degree, incorporating crime prevention and traffic safety factors, and outputs roads with safety degrees below a threshold for enhanced safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If safety degree is calculated based only on brightness of the road, then the calculation is simple, but the safety assessment is insufficient and cannot ensure comprehensive road safety
Solution Approach 1:
The patent combines multiple safety assessment factors (brightness, crime information, traffic accident information, vehicle travel information) into a unified safety degree calculation system. This merging of diverse data sources resolves the contradiction by creating a comprehensive assessment that maintains reasonable complexity while significantly improving reliability.
Solution Approach 2:
The safety degree is constructed as a composite metric integrating heterogeneous information types (visual brightness data, criminal records, accident statistics, traffic flow data). This composite approach allows the system to achieve high reliability through multi-factor analysis without requiring overly complex individual measurement systems for each factor.
2Reliability
If multiple factors (crime information, traffic accident information) are incorporated into safety degree calculation, then comprehensive safety assessment is achieved, but the device complexity increases
Solution Approach 1:
The patent segments the safety assessment into distinct modular components: brightness assessment module, crime information module, traffic accident module, and vehicle travel module. Each module processes specific data types independently, then results are integrated. This segmentation reduces overall system complexity by creating manageable, specialized sub-systems rather than one monolithic complex processor.
Solution Approach 2:
The output device is designed with multi-functionality to handle diverse data types (images, text information, statistical data) through a unified safety degree calculation framework. This universal approach allows the same device to process multiple information types without requiring separate specialized systems for each factor, thereby managing complexity while achieving comprehensive assessment.
Data Source
AI summary
An output device including: a memory; and a processor coupled to the memory, the processor configured to: acquire a satellite image in which a target region is photographed and event information relating to events that have occurred in the target region; and output, from among roads in the target region, a road for which a safety degree calculated based on the satellite image and the event information is less than a threshold value.