Smart Glasses Object Registration and Contextual Display
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Solution Overview
Problem
Smart glasses technologies lack effective methods for providing user-specific information based on detected objects in acquired images, failing to efficiently display relevant data when objects are recognized or not recognized within the field of view.
Innovation Solution
A method and apparatus that register objects based on detection frequency and interaction frequency, determining their presence in images, and displaying associated information using a device with an input unit, controller, and display unit, which includes displaying information about registered objects if they exist in the image or based on their detection cycle if they do not.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If smart glasses continuously acquire and analyze images to provide object information, then information relevance is improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary actions by registering objects in advance based on detection frequency and interaction frequency before actual image acquisition. This pre-registration creates a database of important objects, allowing the system to efficiently query and display only relevant information during image analysis, thereby reducing continuous processing energy consumption while maintaining high information relevance.
Solution Approach 2:
The patent changes the parameter of object importance by using detection frequency and interaction frequency as criteria for registration. This parameter transformation allows the system to prioritize certain objects for continuous monitoring while reducing processing for less important objects, optimizing the balance between information relevance and energy consumption.
2Loss of information
If smart glasses display information for all detected objects, then information completeness is improved, but user interaction efficiency deteriorates
Solution Approach 1:
The patent applies local quality by differentiating information display based on object importance. Instead of uniform treatment of all objects, the system provides detailed information only for registered objects (those with high detection or interaction frequency), while providing minimal or no information for unregistered objects. This localized information provision maintains completeness for important objects while improving user interaction efficiency by reducing information overload.
3Measurement precision
If smart glasses register all detected objects, then object recognition accuracy is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential characteristics needed for object recognition (detection frequency and interaction frequency) and uses these as registration criteria. By taking out only the most relevant features rather than processing all possible object attributes, the system maintains high recognition accuracy for important objects while reducing data processing complexity and memory requirements.
Data Source
AI summary
A method of operating a device is provided. The method includes acquiring an image, determining whether an object registered in a device exists in the image, and if it is determined that the registered object exists in the image, displaying associated information of the registered object.