Print Instruction Device with Facial Recognition Prioritization
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Solution Overview
Problem
Users face difficulty in selecting images to print from a large collection, as conventional methods require manual sorting and may not prioritize desired images, leading to a cumbersome process.
Innovation Solution
A print instruction device and system that utilizes facial recognition to identify and prioritize images based on past print history, displaying images with included persons differently from those without, allowing users to easily select and print preferred images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If facial recognition is performed on all images to select images for printing, then the user can automatically select images with persons, but the processing time and computational load increase significantly
Solution Approach 1:
The system performs facial recognition and extracts person information in advance during image storage or previous printing operations. This preliminary processing creates a database of person data that can be quickly queried without re-processing all images during selection, thereby reducing real-time processing time while maintaining automatic selection capability
Solution Approach 2:
The system extracts only the essential person information (facial features, identification data) from images and stores it separately as metadata. This extraction approach allows the system to work with compact person data rather than processing entire images during selection, significantly reducing computational load and processing time while preserving the ability to identify and select images containing specific persons
2Adaptability or versatility
If the system displays all images for user selection, then the user can see all options, but the user interface becomes cluttered and selection becomes more difficult
Solution Approach 1:
The system segments the image list into distinct groups based on detected persons. Images containing the same person are grouped together and displayed as separate categories. This segmentation allows users to navigate through organized groups rather than a single overwhelming list, improving ease of selection while maintaining the ability to access all images through the grouped structure
Solution Approach 2:
The system applies different display characteristics to different image groups based on their person associations. Images grouped by person are displayed with specific visual indicators (such as person icons or color coding) that differ from ungrouped images. This local differentiation helps users quickly identify and navigate to desired image groups without displaying all images in a uniform, cluttered manner
Data Source
AI summary
A print instruction device configured to instruct a print unit to print an image stored in an image storing unit storing a plurality of images is provided. The print instruction device comprises a display unit, an operation unit, and a controller. The controller is configured to judge whether each of the plurality of images stored in the image storing unit includes a person who is included in a past image which had been printed in the past, control the display unit to display information regarding the image which is judged to include the person who is included in the past image in a different form than information regarding the image which is judged not to include the person included in the past image, receive a selection of an image for printing through the operation unit, and instruct the print unit to print the selected image.