System and method for device inspection

Abstract

Methods and systems for device inspection. According to one example, the method includes receiving image data representing an appearance of an equipment component prior to an inspection process, and evaluating the image data using a machine learning model defining reference image data to determine whether the image data represents that the equipment component has been prepared for inspection. When the evaluation indicates that the equipment component has not been prepared, the inspection process may be blocked. According to one example, the system includes a controller that receives image data representing an appearance of an equipment component obtained prior to an inspection process. The controller evaluates the image data with respect to the reference image data using a machine learning model to determine whether the equipment component has been prepared for the inspection process. The controller prevents proceeding of the inspection process based on the evaluation indicating that no equipment component has been prepared for the inspection process.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS [0002] This application claims priority to US Provisional Application 63 / 130,085, filed December 23, 2020, and US Non-Provisional Application 17 / 523,343, filed November 10, 2021, the entire disclosures of which are incorporated herein by reference. technical field [0003] The disclosed subject matter described herein relates to systems and methods for testing devices. More particularly, the disclosed subject matter described herein relates to systems and methods for evaluating visual inspection criteria, providing feedback and / or evaluation of visual inspection criteria, and providing tracking and notification of visual inspection criteria. Background technique [0004] Inspection of equipment such as vehicle components to detect potentially damaged or defective, or near damaged or defective components. Inspection can be performed according to the procedures established for each part. However, adherence to the process may v...

AI Technical Summary

Problems solved by technology

However, adherence to the process may vary from inspector to inspector, which may lead to inaccurate results

Inspectors may not have access to previous inspection results, making it difficult to determine whether previous inspections were performed according to established processes

A failure of a component could cause equipment (such as a locomotive) to malfunction if it is inspected and incorrectly identified as undamaged or not defective

Conversely, if a part is inspected and incorrectly identified as damaged or defective, unnecessary part replacement can take the unit out of service and result in additional repair costs

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