Real-time Camera Dictionary with Dynamic Object Distinction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing camera dictionary systems face issues with mistranslation due to static image-based translation, difficulty in distinguishing characters in a crowded visual field, and inability to display real-time translations, leading to inefficient language processing.
Innovation Solution
A camera dictionary system that uses a photographing portion, object distinction, character distinction, and information extraction to dynamically select the appropriate dictionary based on object type and context, allowing real-time translation display without user input, using OCR and OMR for character recognition and color analysis to distinguish objects and display translations correctly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static image-based translation is used, then translation can be performed on captured images, but real-time translation response is impossible
Solution Approach 1:
The system transitions from static image-based translation to dynamic real-time translation by continuously capturing images and processing them as the user moves. The camera continuously captures images, and the translation processing unit processes each image immediately upon capture, enabling real-time translation response that adapts to dynamic visual changes.
Solution Approach 2:
The system maintains continuous operation by continuously capturing images and continuously processing them for translation. The camera operates in continuous mode, and the translation processing unit continuously identifies characters, determines translations, and displays results without interruption, ensuring uninterrupted useful action throughout the user's movement.
2Loss of information
If translated terms are displayed in a designated display area, then translation results can be shown, but it becomes difficult to comprehend which character is translated when multiple characters are present
Solution Approach 1:
The system overlays translated terms directly onto the captured image at the corresponding character positions, transitioning from separate display area to integrated spatial mapping. This dimensional integration allows users to see both the original character location and its translation simultaneously in the same visual space, eliminating confusion about correspondence.
Solution Approach 2:
The system creates a visual copy of the captured image and overlays translated terms onto this copy at the precise locations where characters were detected. This copying approach preserves the spatial relationship between original characters and their translations, making it easy to understand which character corresponds to which translation.
3Adaptability or versatility
If OCR function is added to mobile phone for camera dictionary service, then translation can be retrieved from captured photographs, but appropriate terms cannot be translated in real time
Solution Approach 1:
The system performs preliminary character identification and translation determination immediately upon image capture, before the user finishes viewing the image. The translation processing unit quickly identifies characters, determines appropriate translations based on context, and displays results instantly, enabling real-time adaptation to changing visual scenarios.
Solution Approach 2:
The system dynamically adjusts translation parameters based on real-time image analysis, including character recognition results, object type identification, and contextual information. By continuously updating translation parameters according to changing visual parameters, the system achieves both real-time response and accurate contextual translation.
4Quantity of substance
If multiple characters are present in the view field, then comprehensive translation information can be obtained, but it becomes difficult to comprehend which character is translated
Solution Approach 1:
The system segments the image into individual character regions, processes each character independently, and displays corresponding translations at each character's location. This segmentation allows the system to handle multiple characters without confusion, as each character and its translation are spatially separated and clearly associated through position-matched overlay.
Data Source
AI summary
Information display equipment that can display translated words and/or translation information in real time. The information display equipment relates to a camera dictionary that can perform dictionary display in real time. In addition, this equipment distinguishes characters included in an object photographed by a photographing portion. Then this equipment extracts information corresponding to these characters from a dictionary. Examples of the information corresponding to the characters are translated words or illustrative examples for a certain term. Then a display portion displays the information corresponding to the characters.