Abstract: A system includes an imaging system and a fiber detection and alignment system. The fiber detection and alignment system includes one or more neural networks trained to detect end faces of one or more fibers in an image and to predict rotation angle and direction of rotation for each fiber that will align an axis of the fiber to associated reference keys. In operation, the imaging system generates an image of an end face of one or more polarization-maintaining (PM) fibers to be aligned. The fiber detection and alignment system generates fiber detection information, such as bounding boxes around end faces of each fiber in the image, and fiber alignment information, such as an alignment instruction indicating a rotation angle and direction of rotation that will align fast or slow axes of each fiber to associated reference keys. The novel system provides a scalable technique to automatically align PM fiber.