Camera Adjustment Apparatus Using Mark Detection for Non-Expert Operators
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Solution Overview
Problem
Non-expert operators struggle to adjust cameras for effective image recognition due to the complexity of existing techniques, as they lack the necessary knowledge to interpret recognition environment information.
Innovation Solution
A camera adjustment apparatus and method that includes an adjustment mark position detection unit, a subject information extraction unit, and a recognition feasibility determination unit to detect and analyze adjustment marks, extracting size, direction, and luminance information, and generating adjustment information for camera adjustments based on predetermined criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing camera adjustment techniques are used, then image recognition accuracy can be improved, but operator expertise requirements increase
Solution Approach 1:
The camera adjustment apparatus enables the camera system to automatically evaluate its own recognition environment by detecting adjustment marks and generating adjustment information, eliminating the need for expert operators to manually interpret recognition environment information
Solution Approach 2:
The system captures images of adjustment marks, extracts subject information (size, direction, luminance), compares it with determination criteria, and generates feedback in the form of adjustment information that guides camera position and setting corrections
2Ease of operation
If manual camera adjustment by non-expert operators is attempted, then operational simplicity increases, but adjustment accuracy decreases
Solution Approach 1:
Adjustment marks serve as intermediaries between the camera system and non-expert operators. The marks provide visual references that the system automatically analyzes, bridging the gap between simple operation and precise adjustment
Solution Approach 2:
The system replaces manual mechanical adjustment processes with automated image processing and analysis. The camera captures images of adjustment marks, and software automatically extracts subject information and generates adjustment information, eliminating the need for manual interpretation
3Ease of operation
If automated adjustment information generation is implemented, then operational ease increases, but system complexity increases
Solution Approach 1:
The adjustment apparatus is divided into distinct functional modules: an image capture unit that takes pictures of adjustment marks, a subject information extraction unit that analyzes the images, and a recognition feasibility determination unit that generates adjustment information. This segmentation makes the complex system manageable and maintainable
Data Source
AI summary
Camera adjustment apparatuses are arranged in an area to be recognized by a camera that captures an image of an object to be recognized, and include: an adjustment mark position detection unit to detect adjustment marks for extracting subject information including a size, a direction, and luminance from an image captured by the camera and detect positions of the detected adjustment marks in the captured image; a subject information extraction unit to extract the subject information from the adjustment marks detected by the adjustment mark position detection unit; and a recognition feasibility determination unit to determine whether each of the adjustment marks detected by the adjustment mark position detection unit can be recognized by comparing the corresponding subject information with a predetermined determination criterion, and generate adjustment information for adjusting the camera based on subject information that corresponds to one of the adjustment marks.