Monitoring Range Determination Using Line Thickness Expansion
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Solution Overview
Problem
Existing monitoring systems face challenges in accurately determining the target range for tracking movement in dynamic environments, such as factories, due to frequent layout changes, leading to increased user effort and potential inclusion of irrelevant areas.
Innovation Solution
An information processing device that allows users to draw a line on image data to define the monitoring target range, with the system determining the range by increasing the line thickness, thereby excluding areas outside the intended path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If color-based pixel detection is used to determine monitoring range, then user input effort is reduced, but irrelevant areas are incorrectly included in the monitoring target range
Solution Approach 1:
The patent segments the monitoring range determination into two distinct steps: first detecting pixels by color similarity, then filtering these pixels using depth information. This segmentation allows the system to benefit from simple color-based detection while eliminating the harmful effect of including irrelevant areas through subsequent depth-based filtering.
Solution Approach 2:
The patent introduces depth information as an intermediary element between color-based detection and final range determination. This intermediary layer acts as a filter that removes incorrectly detected pixels (like cardboard or desks) while preserving the intended monitoring areas, thus resolving the contradiction between ease of operation and measurement precision.
2Measurement precision
If monitoring range is precisely designated by user input, then monitoring accuracy is improved, but user labor and time increase
Solution Approach 1:
The system performs automatic range determination by utilizing readily available depth information from existing sensors without requiring additional user input. The system serves itself by automatically filtering and refining the monitoring range based on depth data, thereby maintaining high precision while minimizing user time investment.
3Adaptability or versatility
If monitoring range includes extra areas similar in color to the path, then detection coverage is increased, but false detection of movement increases
Solution Approach 1:
Depth information serves as an intermediary filter that maintains detection coverage by preserving all color-matched pixels initially, then removes false positives by filtering based on depth characteristics. This two-stage approach preserves versatility while improving reliability.
Solution Approach 2:
The patent applies different quality criteria to different aspects of pixel selection: color similarity is used for initial detection coverage, while depth information is used for local filtering of specific pixels. This local application of quality filters maintains overall detection coverage while eliminating false detections in specific areas.
Data Source
AI summary
An information processing device that determines a monitoring target range of a predetermined place includes an acquisition unit configured to acquire information on a line drawn by a user with respect to image data in which the predetermined place is imaged, and a determination unit configured to determine a range indicated by an area on the line as the monitoring target range, a thickness of the line being increased.