Multi-Frame Character Recognition for Reliable Terminal Data Capture
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing character recognition technologies for on-site equipment data acquisition face issues with misrecognition due to varying image capturing conditions, leading to increased workload for maintenance workers who need to re-capture images to obtain accurate data.
Innovation Solution
An information terminal that performs character recognition on multiple frame images during image capture and finalizes the results upon a predetermined operation, ensuring all target data is correctly acquired before concluding the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If character recognition is performed on a single frame image, then the processing speed is fast, but the recognition accuracy is low and misrecognition occurs
Solution Approach 1:
The system performs character recognition on multiple frame images captured during the image capturing process before finalizing the result. By conducting preliminary recognition on intermediate frames, the system increases the probability of obtaining accurate character data without requiring the operator to redo the entire capturing process when misrecognition occurs.
Solution Approach 2:
The system provides feedback to the operator by displaying the character recognition results from multiple frame images. This allows the operator to verify the accuracy of recognized characters and understand the recognition status, enabling informed decisions about whether to accept the current results or perform additional capturing.
2Measurement precision
If multiple frame images are processed for character recognition, then the recognition accuracy improves, but the processing time and computational load increase
Solution Approach 1:
The system processes a plurality of frame images captured during the image capturing process, which may be more than strictly necessary, to ensure high recognition accuracy. By utilizing multiple frames including intermediate ones, the system increases the likelihood of obtaining accurate character data while maintaining efficient processing through automated selection of the best recognition result.
3Measurement precision
If the system waits for perfect character recognition before allowing operation completion, then data accuracy is ensured, but the operational efficiency decreases
Solution Approach 1:
The system automatically performs character recognition on multiple frame images and selects the most accurate result without requiring manual intervention or waiting for perfect conditions. This self-service approach maintains high recognition accuracy while allowing the operator to complete the operation conveniently by simply performing the end operation when satisfied with the displayed results.
Data Source
AI summary
An information terminal includes a controller. The controller is configured to: repeat a process of acquiring a frame image that has been captured and a process of storing a character recognition result in a storage, the character recognition result being obtained by performing character recognition of the frame image and being a character string that is determined to be written in accordance with a naming rule; and when a predetermined operation to the information terminal to end capturing of the frame image is received and the character recognition result is not stored in the storage based on a frame image acquired when the predetermined operation is received, finalize the character recognition result to be the character string that is stored in the storage based on a frame image acquired prior to the frame image when the predetermined operation is received.