Image Recognition With Auxiliary Anchors for Spatial Alignment
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Solution Overview
Problem
Visually impaired individuals face challenges in accurately and completely reading text information due to difficulties in capturing clear photos and maintaining spatial alignment with the target, leading to high error rates and deviations.
Innovation Solution
An image recognition method that prompts users to establish a location association between an auxiliary part and a to-be-recognized object, using proprioception to maintain spatial alignment in three degrees of freedom, and employs computer vision to recognize the auxiliary part as an anchor point, guiding the user to adjust the terminal's position and orientation for precise image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user moves the terminal device according to voice guidance in four degrees of freedom, then the user can attempt to capture the target object, but the user is prone to deviation and the error rate is high
Solution Approach 1:
The patent introduces an auxiliary part (such as a hand-held marker or reference object) as an intermediary between the user and the target object. The user interacts with this auxiliary part instead of directly navigating to the target, which simplifies the operation while maintaining or improving positioning accuracy. The auxiliary part serves as a tangible reference that the user can easily locate and manipulate.
Solution Approach 2:
The patent replaces the mechanical navigation system (where the user physically moves the terminal in four degrees of freedom based on voice instructions) with a computer vision-based system. The system automatically calculates the terminal's position and orientation relative to the target using image processing and geometric relationships, eliminating the need for complex manual positioning.
2Measurement precision
If the user follows detailed voice instructions for moving distance and turning angle, then the user can attempt to align with the target, but the user cannot accurately quantify movement and the deviation increases
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors the terminal's position relative to the target using computer vision, calculates the deviation, and provides real-time guidance. This closed-loop feedback allows the user to make incremental adjustments based on actual performance rather than relying on imperfect mental quantification of movement.
Solution Approach 2:
The auxiliary part serves as a mediator that carries spatial information. By interacting with this auxiliary object, the user gains enhanced spatial perception without needing to directly measure distances and angles to the target. The auxiliary part translates complex spatial relationships into simpler, more perceivable cues.
3Measurement precision
If the system requires the user to maintain spatial alignment in three degrees of freedom, then the recognition accuracy can be improved, but the user action cost increases
Solution Approach 1:
The patent replaces the manual mechanical adjustment system with an automated computer vision system. The system automatically calculates and guides the terminal's position and orientation in three degrees of freedom, eliminating the time-consuming manual adjustment process while maintaining high recognition accuracy.
Solution Approach 2:
The system performs preliminary calculations of the optimal terminal position and orientation before the user needs to capture the target. By pre-computing the required adjustments based on the detected target position, the system reduces the real-time adjustment burden on the user and speeds up the overall process.
Data Source
AI summary
An image recognition method includes: outputting a first reminder, where the first reminder indicates a user to establish a location association between an auxiliary part and a to-be-recognized object, and control a terminal to photograph the auxiliary part; and when the auxiliary part exists in a shot first image and a target object whose location relationship with the auxiliary part meets a first preset condition exists in the first image, obtaining a recognition result of the target object based on a captured second image, where the first image and the second image are images in a video stream that is shot by the user controlling the terminal after the first reminder is output, and capture time of the second image is later than that of the first image. According to this application, the user is prompted to establish the location association between the auxiliary part and the to-be-recognized object.