Recognition Environment Calibration Using Marker Image Detection
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Solution Overview
Problem
Recognition engines face precision and reliability issues due to varying recognition environments, including camera installation, angle, lighting, and target object orientation, which are not accounted for in existing high-precision recognition systems.
Innovation Solution
An information processing device and method that detects markers within the target area to acquire recognition environment information, such as pixel count, blur, brightness, and object orientation, to adjust image processing settings accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a high-precision recognition engine is delivered to a customer, then recognition precision is improved, but recognition precision may not be secured in varying recognition environments
Solution Approach 1:
The patent applies preliminary action by acquiring recognition environment information (such as illumination, background, and object appearance characteristics) before the actual recognition process. This allows the recognition engine to be pre-adjusted to the specific environment, ensuring that high recognition precision is maintained despite variations in recognition conditions. The environment information is obtained in advance and used to configure the recognition engine before it processes target objects.
2Measurement precision
If recognition environment information is acquired before delivery, then recognition precision is maintained, but device complexity increases
Solution Approach 1:
The patent applies self-service by enabling the recognition system to automatically acquire and analyze recognition environment information without requiring external intervention. The system autonomously captures images, extracts environment characteristics (illumination, background, object appearance), and configures itself for optimal recognition performance. This self-configuration capability reduces the need for complex external calibration equipment or manual setup procedures.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting recognition engine parameters based on the acquired environment information. Instead of using fixed recognition parameters, the system modifies parameters such as feature extraction thresholds, matching criteria, and preprocessing settings according to the specific recognition environment (illumination conditions, background characteristics, object appearance). This adaptive parameter adjustment maintains high recognition precision across varying environments without requiring a completely different recognition system for each condition.
Data Source
AI summary
In order to acquire recognition environment information impacting the recognition accuracy of a recognition engine, an information processing device 100 comprises a detection unit 101 and an environment acquisition unit 102. The detection unit 101 detects a marker, which has been disposed within a recognition target zone for the purpose of acquiring information, from an image captured by means of an imaging device which captures images of objects located within the recognition target zone. The environment acquisition unit 102 acquires the recognition environment information based on image information of the detected marker. The recognition environment information is information representing the way in which a recognition target object is reproduced in an image captured by the imaging device when said imaging device captures an image of the recognition target object located within the recognition target zone.