Electronic Device Visual Recognition Attribute Segmentation
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Solution Overview
Problem
Existing technologies struggle to accurately estimate related products that can capture a user's interest without knowing the specific points of a product that attract the user's attention.
Innovation Solution
An electronic device equipped with a processor and memory that performs estimation, specification, and collection processes. It estimates the visually recognized range of a user, specifies objects within this range, and collects information related to these objects based on attribute information visually recognized by the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If general product information is presented to users based on viewing history, then the quantity of information presented increases, but the precision of matching user interest decreases
Solution Approach 1:
The patent segments attribute information into multiple categories (e.g., price, specifications, brand, features) and tracks user viewing behavior for each category separately. This allows the system to identify which specific attributes the user is interested in, rather than treating all product information as a single unit. By segmenting the information presentation based on detected user interest in specific attributes, the system can present relevant information without overwhelming the user with irrelevant details.
2Measurement precision
If attribute information is specified based on visual recognition, then the precision of identifying user interest improves, but the complexity of the detection system increases
Solution Approach 1:
The patent employs a camera module that serves multiple functions: capturing product images, detecting user line of sight, and identifying visually recognized attribute information. By making the camera multi-functional, the system achieves precise detection of user interest without adding separate dedicated detection devices, thereby controlling system complexity while improving measurement precision.
Solution Approach 2:
The system uses an intermediary processing layer that analyzes the relationship between captured images, detected line of sight positions, and attribute information. This intermediary processing identifies which attributes the user is visually recognizing and uses this information to refine product recommendations, achieving precise interest identification through software-based mediation rather than complex hardware.
Data Source
AI summary
An electronic device includes: a processor; and a memory storing a program which, when executed by the processor, causes the electronic device to: perform estimation processing for estimating a visually recognized range of a user; perform specifying processing for specifying an object that is visually recognized by the user, based on the visually recognized range; and perform collection processing for collecting information related to a visually recognized object, which is the object specified in the specifying processing, wherein, in the specifying processing, attribute information that is visually recognized by the user is specified among pieces of attribute information displayed together with the visually recognized object, and wherein, in the collection processing, information related to the visually recognized object is collected, based on the attribute information specified in the specifying processing.