AR Work Verification via Spatial Marker Tracking
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Solution Overview
Problem
Existing systems for verifying work implementation in augmented reality (AR) environments face challenges in accurately determining whether work is performed in authorized locations, as they rely on fixed gates and IC tags, which can be easily falsified using copied AR markers.
Innovation Solution
An information processing apparatus that uses AR markers to generate superimposed images of work instructions and verifies work execution by analyzing movement information and conditions related to the recognition of these markers, ensuring that work is performed in the correct locations and at the appropriate times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed gates and IC tags are used to verify work implementation, then work verification can be performed, but the system is vulnerable to falsification using copied AR markers
Solution Approach 1:
The patent transitions from two-dimensional AR marker recognition to three-dimensional spatial verification by tracking worker movement through multiple markers in physical space. The system verifies work by confirming the worker physically moved between marker locations, adding a spatial dimension that prevents copying fraud.
Solution Approach 2:
The system implements continuous feedback by monitoring the sequence and timing of marker recognitions. It verifies whether the recognition sequence matches the expected work flow and whether the time intervals between recognitions are reasonable, providing real-time validation that prevents falsification.
2Measurement precision
If AR markers are used for work verification, then work location tracking is enabled, but the system cannot distinguish between genuine work and falsified work
Solution Approach 1:
The patent introduces dynamic verification by tracking the temporal sequence and spatial progression of marker recognitions. Instead of static verification, the system monitors whether markers are recognized in the correct sequence and within reasonable time intervals, dynamically assessing work authenticity based on movement patterns.
Solution Approach 2:
The system pre-defines the expected sequence of marker recognitions corresponding to the correct work flow. Before verification, the proper sequence is established, and during execution, the actual recognition sequence is compared against this predefined pattern to detect falsification attempts.
3Reliability
If multiple markers are recognized to verify work, then work process monitoring is improved, but the time required for verification increases
Solution Approach 1:
The system employs periodic verification by checking marker recognitions at regular intervals defined by the work flow sequence. Instead of continuous monitoring, it verifies at key checkpoints corresponding to each marker, reducing computational overhead while maintaining reliability through structured periodic validation.
Data Source
AI summary
This disclosure describes an information processing apparatus including a processor configured to acquire first image data, detect reference image data of a particular object from the first image data, store first time information indicating a first time when the reference image data is detected from the first image data or when the first image data is captured, acquire second image data, generate, when another reference image data of another particular object is detected from the second image data, second time information indicating a second time when the another reference image data is detected from the second image data or when the second image data is captured, generate movement information based on a difference between the first time information and the second time information, and determine whether a work is implemented in a place where the work has to be implemented.