公开(公告)号：US20250078238A1

公开(公告)日：2025-03-06

申请号：US18813432

申请日：2024-08-23

Applicant: EXFO Inc.

Inventor： Jonathan PLANTE ,  Sylvain NADEAU ,  Justin M. WHATLEY

IPC: G06T7/00 ,  G01M11/00 ,  G06V10/24 ,  G06V10/26 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82

Abstract: Systems and methods for inspecting optical fibers are provided. A method, according to one implementation, includes steps of obtaining an image of an end-face of an optical fiber; analyzing the image with a pre-trained neural network model to classify pixels therein as any of a defect, a scratch, or clean; aggregating the pixels based on proximity to obtain defect segments or scratch segments; characterizing these defect segments and scratch segments based on but not limited to size and location, and providing an output including any of the defect segments or scratch segments.

公开(公告)号：US20230060909A1

公开(公告)日：2023-03-02

申请号：US17891405

申请日：2022-08-19

Applicant: EXFO Inc.

Inventor： Jonathan PLANTE ,  Justin WHATLEY ,  Sylvain NADEAU

IPC: G01R31/3183 ,  G01R31/3185 ,  G06K9/62 ,  G06N20/00

Abstract: Example embodiments are disclosed of systems and methods for predicting failure probabilities of future product tests of a testing sequence based on outcomes of prior tests. Predictions are made by a machine-learning-based model (MLM) trained with a set of test-result sequence records (TRSRs) including test values and pass/fail indicators (PRIs) of completed tests. Within training epochs over the set, iterations are carried out over each TRSR. Each iteration involves sub-iterations carried out successively over test results of the TRSR. Each sub-iteration involves (i) inputting to the MLM values of a given test and those of tests earlier in the sequence while masking those later in the sequence, (ii) computing probabilities of test failures for the masked tests found later in the sequence than the given test, and (iii) applying the PFIs of test results later in the sequence than the given test as ground-truths to update parameters of the MLM.