Image Processing Apparatus Automatic Condition Setting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current imaging processing technologies require users to manually set complex execution conditions, such as smile levels and line of sight directions, which can be burdensome and lead to unintended image capture, as the same setting item's optimum value changes based on factors like gender and situation, making it difficult for users to express their intended image effectively.
Innovation Solution
An image processing apparatus with a detection unit for identifying objects in images, a determination unit for determining object attributes, and a condition setting unit that automatically sets execution conditions based on detected attributes, allowing for automatic setting of imaging, search, or compositing conditions, thereby reducing user burden and ensuring intended image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually set imaging conditions (smile level, line of sight direction, etc.), then the system can capture intended images, but the setting process becomes burdensome and complex
Solution Approach 1:
The system automatically detects object attributes (smile level, line of sight direction, etc.) and sets imaging conditions without user intervention. The imaging apparatus performs self-service by using its own detection capabilities to determine optimal settings, eliminating the burden of manual condition setting while maintaining accurate imaging parameters
Solution Approach 2:
The system performs preliminary detection of object attributes before imaging execution. By detecting smile levels, line of sight directions, and other attributes in advance, the system prepares the imaging conditions automatically, so when imaging is needed, the settings are already optimized without requiring user input at that moment
2Manufacturing precision
If users manually adjust setting items based on gender and situation, then imaging accuracy improves, but the complexity of setting increases
Solution Approach 1:
The system dynamically adjusts imaging conditions based on detected object attributes rather than using fixed manual settings. The detection unit identifies characteristics like smile level and line of sight direction in real-time, and the control unit automatically adapts imaging parameters accordingly, eliminating the need for users to navigate complex setting menus for different situations and genders
Solution Approach 2:
The system changes imaging parameters automatically based on detected object attributes. Instead of requiring users to select from multiple setting options for different scenarios, the system detects attributes (smile level, line of sight, etc.) and automatically adjusts the corresponding imaging parameters to achieve accurate image capture
3Reliability
If users set detailed execution conditions, then processing conformity to user intent improves, but the time and effort required for setup increases
Solution Approach 1:
The system performs self-service by automatically detecting object attributes and setting execution conditions without user intervention. This eliminates the time users would spend configuring detailed settings while ensuring the processing conforms to user intent through automatic detection and adaptation
Solution Approach 2:
The system performs preliminary detection of object attributes and automatic condition setting before processing execution. By preparing the execution conditions in advance through automatic detection, the system ensures processing conformity to user intent without requiring users to invest time in detailed configuration
Data Source
AI summary
The present invention facilitates the setting of a condition for the execution of predetermined processing and enables the execution of processing conforming to a user's intention. In an image processing apparatus, a predetermined object is detected in an image selected based on an instruction from a user, a determination is made regarding an attribute of the detected object, and the determined attribute is set as an execution condition used when executing predetermined processing on an image.