Mobile Wear Detection via Photogrammetry and Digital Modeling
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Solution Overview
Problem
Existing systems for wear detection on equipment parts, such as those in heavy machinery, lack portability and efficiency in accommodating various part types, making it difficult for operators to accurately determine wear levels and plan for replacements.
Innovation Solution
A command-driven automatic and semi-automatic mobile wear detection system using a mobile device with a camera, processor, and memory, which receives directives from a central server to guide positioning and process visual data to determine wear metrics through digital modeling and feature recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement methods are used to determine wear dimensions, then the operator can obtain some measurement data, but the operator cannot accurately compare measured dimensions to original dimensions or determine the degree of wear
Solution Approach 1:
The system creates a digital copy (3D model) of the part using photogrammetry techniques. Multiple images are captured and processed to generate an accurate digital representation of the part's current state, which can then be precisely measured and compared to the original design specifications to determine wear degree.
Solution Approach 2:
The patent replaces manual mechanical measurement tools with automated image processing and computer vision algorithms. The system uses photographs and automated algorithms to extract dimensional data, eliminating the need for physical contact with the part and providing more accurate wear assessment.
2Adaptability or versatility
If a fixed wear detection system is implemented, then measurement accuracy can be maintained, but the system lacks portability and cannot efficiently accommodate various part types
Solution Approach 1:
The system is designed to be universal and adaptable to multiple part types through software configuration rather than hardware redesign. The photogrammetry approach and automated processing algorithms can be applied to various geometries and part types, making the system versatile while maintaining measurement precision through standardized imaging protocols.
Solution Approach 2:
The system transitions from static, fixed measurement setups to dynamic, mobile imaging capabilities. The use of portable devices with cameras allows the system to move to different parts and locations, adapting to various part types while maintaining measurement accuracy through automated processing and digital modeling.
3Measurement precision
If detailed part information is required to determine wear degree, then accurate wear assessment can be achieved, but the complexity of data collection and processing increases
Solution Approach 1:
The system performs self-service by automatically capturing images, processing them through photogrammetry algorithms, generating 3D models, and extracting wear measurements without requiring manual intervention for each step. The automated processing pipeline handles data collection and analysis, reducing complexity while maintaining precision.
Solution Approach 2:
The system performs preliminary actions by capturing multiple images and creating the 3D digital model before the actual wear measurement is needed. This pre-processing establishes a complete digital representation that can then be easily measured and analyzed, simplifying the subsequent wear assessment process.
Data Source
AI summary
Systems and methods for command-driven automatic and semi-automatic mobile wear detection are disclosed. One method may include: transmitting, by a mobile device, a request indicative of a desire to determine a wear metric associated with a part; receiving, by the mobile device, first data associated with the part and indicative of a directive for the mobile device to display an instruction for the mobile device to be situated in a specified position; responsive to a determination, by the mobile device, that the mobile device is situated in the specified position, receiving, by a camera of the mobile device, visual data associated with the part; receiving, by the mobile device, second data indicative of a directive for the mobile device to process the visual data; determining, by the mobile device, the wear metric based, at least, on the processed visual data.