Fiber organizer

1 . A method for automatically organizing optical fibers, comprising:

receiving a plurality of optical fibers into a first assembly;

optically imaging the plurality of optical fibers in the first assembly to determine an initial sequence of the plurality of optical fibers;

determining the initial sequence from the optical imaging of the plurality of optical fibers in the first assembly;

identifying a set of key combinations that correspond to permutations of specific fibers from first positions in the initial sequence to second positions in a predetermined sequence; and

sorting the plurality of optical fibers according to the predetermined sequence, comprising:

sliding a second assembly across the first assembly to position the second assembly for receiving fibers; and

actuating the set of key combinations to reposition the plurality of optical fibers from the first assembly to the second assembly according to the predetermined sequence.

2 . The method of claim 1 , wherein optically imaging the plurality of optical fibers further comprises:

optically imaging the plurality of fibers extending from the first assembly to generate an initial image; and

analyzing the initial image to determine the initial sequence.

3 . The method of claim 1 , wherein identifying the set of key combinations further comprises:

comparing the initial sequence with the predetermined sequence to determine discrepancies between the initial sequence and the predetermined sequence; and

identifying a series of actuations of key combinations to reconcile the discrepancies.

4 . The method of claim 1 , wherein sorting the plurality of optical fibers further comprises:

selecting operational parameters for the sorting step based on predictions made by a machine learning model, wherein the operational parameters include carriage speed and key actuation speed.

5 . The method of claim 4 , further comprising:

coordinating sliding of the second assembly with actuating of the set of key combinations according to the operational parameters that were selected.

6 . The method of claim 1 , wherein identifying the set of key combinations further comprises:

comparing the initial sequence with the predetermined sequence to determine the permutations of the specific fibers to align the fibers according to the predetermined sequence.

7 . The method of claim 1 , further comprising:

after repositioning the plurality of optical fibers, imaging the plurality of optical fibers extending from the second assembly to generate a subsequent image;

determining a subsequent sequence of the plurality of fibers from the subsequent image; and

verifying that the subsequent sequence matches the predetermined sequence.

8 . An optical fiber sorting apparatus comprising:

a first assembly designed to hold a plurality of optical fibers in an initial sequence;

a second assembly positionable to receive optical fibers from the first assembly;

a sensing mechanism configured to capture the initial sequence of the optical fibers within the first assembly; and

an actuation system comprising a set of keys to adjust the arrangement of optical fibers from the first assembly to the second assembly based on a predetermined sequence.

9 . The apparatus of claim 8 , wherein the sensing mechanism comprises:

a camera system aimed at capturing images of the optical fibers for determining the initial sequence and verifying a subsequent sequence in the second assembly.

10 . The apparatus of claim 9 , further comprising:

a machine learning model integrated with the sensing mechanism, wherein the machine learning model is configured to select operational parameters based on an analysis of captured images.

11 . The apparatus of claim 8 , wherein the actuation system further comprises:

an insert positioned within the first assembly, where in the insert is configured to limit movement of the set of keys.

12 . The apparatus of claim 8 , further comprising:

a control system programmed to compare the initial sequence with the predetermined sequence and to identify a series of actions for the actuation system to execute in order to rearrange the optical fibers into the predetermined sequence.

13 . The apparatus of claim 8 , wherein the first and second assemblies are in sliding engagement, allowing the second assembly to move relative to the first assembly to enable the transfer and reorganization of optical fibers.

14 . The apparatus of claim 8 , further comprising:

an adjustment mechanism for dynamically changing the operational parameters such as the speed of the sliding mechanism and the speed of key actuation based on feedback from the machine learning model.

15 . The apparatus of claim 8 , wherein the set of keys have a width approximately equal to the diameter of the optical fibers.