Sensor Data Authentication for Condition Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for assessing the condition of real-world objects lack effective authentication and accurate assessment, particularly in scenarios where sensor data may be spoofed or tampered with, leading to potential fraud and inaccuracies.
Innovation Solution
A computer-implemented method that receives sensor data, authenticates it as genuinely depicting the real-world object using identifiers and age criteria, and then assesses the object's condition using image processing and machine learning techniques, with the authentication and assessment potentially performed in sequence or simultaneously, and the use of graphical items on display screens to enhance security and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensor data is used for condition assessment without authentication, then assessment speed is improved, but security and reliability deteriorate due to potential spoofing and tampering
Solution Approach 1:
The patent applies preliminary action by performing authentication of sensor data before condition assessment. The system checks age criteria and authenticity of sensor data in advance, ensuring that only valid and unspoofed data is used for assessment. This preliminary verification step prevents fraud while maintaining efficient processing of genuine data.
2Reliability
If authentication procedures are added to verify sensor data, then security and reliability are improved, but processing time and complexity increase
Solution Approach 1:
The patent applies parameter changes by using age criteria as a key parameter for authentication. Instead of complex verification procedures, the system checks whether sensor data meets age requirements (e.g., data not older than a threshold). This parameter-based approach provides reliable authentication while keeping processing time minimal, as age verification is a simple comparison operation.
3Reliability
If graphical items are displayed on the real-world object, then identification and authentication are enhanced, but measurement accuracy deteriorates due to interference with sensor data
Solution Approach 1:
The patent applies segmentation by separating the authentication function from the condition assessment function. Graphical items (such as barcodes or identifiers) are used specifically for authentication purposes, while condition assessment focuses on other sensor data features. This segmentation allows graphical items to enhance authentication without interfering with the accuracy of condition measurements, as the two processes analyze different aspects of the sensor data.
Data Source
AI summary
A computer-implemented method of assessing the condition of a real-world object is provided. The computer-implemented method comprises: receiving sensor data depicting the real-world object; authenticating the received sensor data as genuinely depicting the real-world object; and if the authentication is successful, assessing a condition of the real-world object from the sensor data.