Multi-Sensor Area Monitoring for Road Departure Detection
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Solution Overview
Problem
Existing area monitoring systems fail to accurately monitor changes in the situation of a monitoring target area, leading to potential inaccuracies in tracking mobile objects and road conditions, which can hinder effective traffic safety and convenience.
Innovation Solution
An area monitoring system comprising sensor devices, an analyzer, a manager, and a provider that analyze images to identify and manage mobile object movements, providing action instructions when deviations or abnormalities are detected, using identification information, travel time measurements, and sensor device coordination to cover blind spots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single sensor device is used to monitor the area, then the device complexity is low, but the measurement precision and coverage are insufficient due to blind spots
Solution Approach 1:
The monitoring area is divided into multiple zones, each covered by a dedicated sensor device. The analyzer segments the monitoring task by processing images from multiple sensors simultaneously, assigning identification information to mobile objects in different regions, which improves overall monitoring precision without requiring a single complex sensor
Solution Approach 2:
Multiple sensor devices are merged into a coordinated monitoring system where the analyzer combines images from different sensors to track mobile objects across the entire area. This merging approach eliminates blind spots and improves measurement precision while managing complexity through centralized analysis
2Measurement precision
If multiple sensor devices are deployed to cover the entire area, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The analyzer performs multiple functions: it processes images from multiple sensor devices, assigns identification information to mobile objects, tracks movement situations, and generates action instructions. This multi-functionality consolidates the complexity into a single processing unit while maintaining high monitoring precision through coordinated multi-sensor input
Solution Approach 2:
The analyzer acts as an intermediary between multiple sensor devices and the management system. It receives raw image data from various sensors, processes and integrates the information, and outputs standardized movement situation data. This intermediary role manages system complexity by providing a unified interface while enabling precise monitoring through multiple sensors
3Measurement precision
If the monitoring system covers blind spot areas, then the measurement precision improves, but the device complexity increases due to additional sensor devices
Solution Approach 1:
The system addresses blind spots by adding spatial dimensionality to the monitoring coverage. Multiple sensor devices are positioned at different locations and angles to cover areas that would be invisible to a single sensor, improving measurement precision through multi-dimensional observation without requiring each individual sensor to be overly complex
Data Source
AI summary
According to an embodiment, an area monitoring system includes a sensor device installed at a position where a monitoring target area can be imaged, an analyzer configured to analyze an image captured by the sensor device, a manager configured to manage a movement situation of a mobile object moving on a road included in the monitoring target area on the basis of an analysis result of the analyzer, and a provider configured to provide prescribed information to the mobile object. The provider provides an action instruction for the mobile object to the mobile object when the mobile object is likely to depart from the road on the basis of the movement situation.