Electronic Apparatus Manual Automatic Image Separation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image capture devices with both manual and automatic capture functions require users to sift through mixed manually and automatically captured images, making it time-consuming to find desired images during manual capturing.
Innovation Solution
An electronic apparatus connected to an image capture apparatus that receives instructions for image capture, allowing manual images to be displayed separately from automatic images, with the option to display both when no instruction is received, enabling easier identification of manually captured images during manual capturing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If both manual and automatic capture functions are provided, then the image capture apparatus can capture images in various modes, but manually captured images and automatically captured images are mixed together making it time-consuming to search for desired images
Solution Approach 1:
The patent segments the mixed images into two distinct groups: manually captured images and automatically captured images. This is achieved by classifying images based on their capture mode and displaying them in separate areas or with different visual indicators, allowing users to quickly locate desired images without sifting through mixed content.
Solution Approach 2:
The patent introduces an intermediary classification mechanism that automatically identifies and categorizes images based on their capture mode. This intermediary system acts as a mediator between the mixed image stream and the user, organizing images by capture type (manual/automatic) to facilitate efficient searching and retrieval.
2Loss of information
If all captured images are displayed together, then complete image history is available, but it becomes difficult to quickly find manually captured images during manual capturing
Solution Approach 1:
The patent applies local quality differentiation by providing distinct visual characteristics for manually captured images versus automatically captured images. This may include different display positions, visual markers, or highlighting mechanisms that make manually captured images stand out, allowing users to quickly identify them without losing access to the complete image history.
3Productivity
If manual and automatic images are displayed separately, then searchability improves, but the system complexity increases
Solution Approach 1:
The patent implements a self-service classification system that automatically identifies and categorizes images based on their capture mode without requiring manual intervention. The system autonomously determines whether each image is manually or automatically captured and organizes them accordingly, reducing the complexity of manual management while maintaining high search efficiency.
Data Source
AI summary
An electronic apparatus connected to an image capture apparatus receives an image capture instruction for requesting the image capture apparatus to perform image capture processing, in response to a user operation. If the image capture instruction is received, the electronic apparatus performs control to display a first image recorded by the image capture apparatus performing the image capture processing according to a capture request based on the image capture instruction from the electronic apparatus on a screen without a second image recorded by the image capture apparatus automatically performing the image capture processing according to satisfying a predetermined condition for automatic capturing. If the image capture instruction is not received, the electronic apparatus performs control to display both the first image and the second image on the screen.