Monitoring Device Blind Spot Detection via Guard Orientation Estimation
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Solution Overview
Problem
Existing monitoring systems fail to detect blind spots within a security guard's field of view, potentially leading to overlooked suspicious persons or behaviors due to the lack of consideration for the guard's orientation and line of sight.
Innovation Solution
A monitoring device and method that includes a detection unit for identifying individuals, an estimation unit to determine the viewed region, a determination unit to identify areas requiring attention, and a presentation unit to alert security personnel about blind spots within the monitored area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the monitoring system only uses fixed monitoring cameras to detect blind spots, then the system structure remains simple, but the blind spots within security guard's field of view cannot be detected
Solution Approach 1:
The patent introduces an estimation unit that acts as an intermediary between the detection unit and determination unit. This unit estimates the security guard's field of view by analyzing their orientation and line of sight, thereby enabling the system to detect blind spots within the guard's view without requiring complex additional sensors or cameras positioned in those blind spots.
Solution Approach 2:
The patent replaces the need for physical cameras or sensors positioned in blind spots with an computational estimation system. By using image processing to detect the guard's orientation and calculate their field of view, the system substitutes mechanical detection with information processing, reducing device complexity while improving detection accuracy.
2Reliability
If the system estimates the security guard's field of view to detect blind spots, then blind spots within the guard's view can be detected, but the device complexity increases
Solution Approach 1:
The patent divides the monitoring system into distinct functional modules: a detection unit for capturing images, an estimation unit for calculating field of view, and a determination unit for identifying blind spots. This segmentation allows each module to perform its specific function efficiently, managing processing complexity through modular design while maintaining high detection accuracy.
Solution Approach 2:
The system uses feedback from the detection unit's images to continuously update the estimation of the security guard's field of view. By processing the guard's orientation and line of sight information in real-time, the system dynamically adjusts blind spot detection, improving reliability while managing processing complexity through iterative refinement.
3Reliability
If the monitoring system presents all regions as potential blind spots, then comprehensive monitoring is achieved, but information overload occurs making it difficult to identify critical areas
Solution Approach 1:
The patent applies local quality by determining blind spots specifically within the security guard's field of view rather than treating all regions equally. The determination unit identifies and highlights only those areas that are actually relevant to the guard's monitoring responsibilities, filtering out irrelevant regions and preventing information overload while maintaining comprehensive monitoring coverage.
Solution Approach 2:
Instead of presenting all regions and filtering out non-blind spots, the system inverts the approach by directly identifying and presenting only the blind spot regions within the guard's field of view. This inversion of the selection process improves information quality by focusing attention on critical areas without overwhelming the user with unnecessary data.
Data Source
AI summary
To present a region which is not fully monitored, provided is a monitoring device comprising a detection means, an estimation means, a determination means, and a presentation means. The detection means detects a person from an image. The estimation means estimates a region which is being viewed by the person who is detected by the detection means. On the basis of the region estimated by the estimation means, the determination means determines a region which requires special attention within a monitoring area. The presentation means presents information indicating the region which requires special attention determined by the determination means.