Form Image Recognition for Work Transferability Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for managing the progress of jobs with multiple work processes in factories require manual entry of work object states, leading to inefficiencies and potential misidentification of transferable work objects.
Innovation Solution
An information processing system equipped with imagers, a management unit, and a recognition unit that captures and analyzes images to determine the transferability of work objects based on mark images, automating the management of work process progress and preventing misidentification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual entry of work object states is used, then the management system can track job progress, but the process becomes time-consuming and error-prone
Solution Approach 1:
The work object itself carries the form with mark images that automatically indicate its state. The imager and recognition unit automatically read this information without human intervention, making the system self-serve itself by utilizing the information already present on the work object.
Solution Approach 2:
The patent replaces the manual mechanical process of entering state information with an automated optical system. The imager captures images and the recognition unit processes mark images to automatically determine work object states, substituting human manual entry with automated image recognition technology.
2Measurement precision
If manual entry methods are used to track work object transferability, then the system can manage job progress, but misidentification of transferable work objects occurs
Solution Approach 1:
The patent uses mark images with different visual characteristics (such as color codes, patterns, or symbols) to indicate different states of work objects. The recognition unit identifies these visual markers to accurately determine transferability, using visual differentiation similar to color-coding systems.
Solution Approach 2:
The form attached to the work object serves as a visual copy or representation of the work object's state information. Instead of manually entering data, the system reads the visual copy (mark images) directly from the form, eliminating manual transcription errors.
3Productivity
If automated image recognition is implemented, then manual errors are reduced, but the system complexity increases
Solution Approach 1:
The imager is associated with multiple work processes and can capture forms for different work objects across various processes. The recognition unit universally recognizes mark images indicating different states, making the system multi-functional rather than requiring separate systems for each work process.
Solution Approach 2:
The form with mark images serves as an intermediary carrier of state information between the work object and the management system. Instead of direct complex communication, the simple visual mark images mediate the information transfer, simplifying the interaction between physical objects and the digital management system.
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
An information processing system (1) manages progress of a job including one or more work processes. The information processing system (1) includes one or more imagers (18) that are associated with the one or more work processes of the job and configured to capture a form being transferred together with a work object of the job, a management unit (14) configured to manage the one or more work processes of the job based on the one or more imagers (18) capturing the form, and a recognition unit (104) configured to recognize a mark image indicating transferability from image data of the form captured by the one or more imagers (18). The management unit (14) is configured to manage whether the work object is transferable to a next work process based on the mark image recognized from the image data obtained by capturing the form.