Adhered Substance Detection via Region Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional adhered substance detection systems restrict other processing apparatuses when an adhered substance is detected, even if it does not cover the entire imaging surface, leading to incomplete functionality and reduced convenience in obstacle detection and recognition processes.
Innovation Solution
An adhered substance detection apparatus that divides the imaging surface into regions, allowing for the distinction between reliable and unreliable regions based on adhered substance detection, maintaining arithmetic processing reliability in unaffected areas and indicating unreliable regions for cautious use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If other processing apparatus is restricted when an adhered substance is detected, then detection accuracy is improved, but functionality and convenience are reduced
Solution Approach 1:
The imaging surface is divided into multiple regions, allowing the system to identify and isolate areas with adhered substances. This segmentation enables partial functionality to be maintained in regions without contamination while restricting processing only in affected areas, thus resolving the contradiction between detection accuracy and overall functionality.
Solution Approach 2:
Different reliability levels are assigned to different regions based on local contamination status. Regions with adhered substances are marked as unreliable, while clean regions maintain full reliability. This local differentiation allows the system to preserve functionality in unaffected areas while ensuring detection accuracy in contaminated areas.
2Reliability
If other processing apparatus is restricted when an adhered substance is detected, then reliability of processing is improved, but convenience is reduced
Solution Approach 1:
The system segments the imaging surface into reliable and unreliable regions, allowing convenient partial usage of processing apparatus in reliable regions while maintaining high reliability by restricting usage only in unreliable regions. This avoids complete system restriction and preserves user convenience.
Solution Approach 2:
The system provides feedback information about the adhesion state to the user, enabling informed decisions about which processing functions to use. This feedback mechanism maintains reliability by alerting users to unreliable regions while preserving convenience by allowing continued use of reliable regions.
3Measurement precision
If the imaging surface is divided into regions for adhered substance detection, then detection precision is improved, but device complexity is increased
Solution Approach 1:
The imaging surface is divided into multiple regions to improve detection precision by locating adhered substances more accurately. This segmentation approach enhances detection capability while keeping the complexity manageable through systematic region classification and reliability assessment.
Data Source
AI summary
An adhered substance detection apparatus includes an obtaining portion configured to obtain captured image data outputted from an imaging portion, a detection portion configured to detect presence or absence of an adhered substance of each of plural regions of an imaging surface of the imaging portion on the basis of the captured image data, and a judgement portion configured to distinguish a reliable region and an unreliable region from each other, a reliability property of predetermined arithmetic processing performed by a processing apparatus with the use of the captured image data is kept to be equal to or greater than a predetermined value in the reliable region, and the reliability property is less than the predetermined value in the unreliable region.