Camera Dictionary Object Recognition Translation
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Solution Overview
Problem
Current language translation devices, such as translation pens and electronic dictionaries, are limited by requiring user input of printed text and often have a fixed set of languages, failing to provide real-time, multi-language translation capabilities for objects in varying environments.
Innovation Solution
A portable device equipped with a camera, object recognition logic, and translation capabilities that captures images or videos, identifies target objects, and translates them into different languages, using a display or memory for output, with optional features like target object indicators and geographic location-based language selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional translation devices require manual text input, then device complexity is reduced, but productivity and ease of operation deteriorate due to time-consuming manual entry
Solution Approach 1:
The patent replaces the mechanical manual text input system with an automated optical recognition system. The camera captures images of objects or text, and object recognition logic automatically identifies and translates the content, eliminating the need for manual typing or input while significantly improving translation speed and productivity.
Solution Approach 2:
The device performs self-service by automatically capturing images, identifying objects or text, and generating translations without requiring user intervention for data entry. The system serves itself by processing the visual information directly from the captured images through integrated object recognition and translation logic.
2Adaptability or versatility
If translation devices have a fixed set of languages, then device complexity is reduced, but adaptability deteriorates due to inability to translate in varying environments
Solution Approach 1:
The patent implements a universal translation system that can handle multiple languages and various object types through a single integrated platform. The object recognition logic identifies different classes of objects (animals, plants, vehicles, etc.), and the translation logic supports multiple source and target languages, making the device adaptable to diverse translation needs without requiring separate specialized systems.
Solution Approach 2:
The translation device employs dynamic language selection capabilities where the user can freely choose from a list of selectable languages for both source and target languages. The system dynamically adapts to different translation requirements by allowing flexible language pair selection rather than being constrained to fixed language pairs, enhancing versatility while maintaining manageable complexity through software-based configuration.
3Productivity
If real-time object translation is implemented, then productivity is improved, but device complexity and use of energy worsen due to additional processing requirements
Solution Approach 1:
The system performs preliminary actions by capturing images and identifying objects or text before the actual translation process. The camera continuously captures images and the object recognition logic pre-processes the visual data to identify the content, so that when translation is needed, the system already has the identified information ready, enabling real-time translation response while managing processing complexity through staged operations.
4Ease of operation
If target object indicators are displayed, then ease of operation is improved, but device complexity increases due to additional display elements
Solution Approach 1:
The patent uses visual indicators such as highlighted lines or cross-hairs displayed on the screen to indicate the target object within the captured image. These graphical overlays provide clear visual feedback to the user about which object is being identified and translated, improving ease of operation by making the system's focus explicit while adding minimal complexity through standard display graphics rather than physical components.
Data Source
AI summary
A portable device may include a camera to capture a picture or a video, object recognition logic to identify a target object within the picture or the video captured by the camera, and output a first string corresponding to the identified target object, logic to translate the first string to a second string of another language that corresponds to the identified target object, and logic to display on a display or store in a memory the second string.