[Customer Success Story] From Component Identification to Defect Detection: How a Manufacturer of Industrial Automation Components Built a PCB Labeling Workflow

A manufacturer of industrial automation components adopted Superb Platform to build AI datasets for PCB component identification and defect detection after open-source labeling tools became difficult to manage at production scale. Its small internal research team needed to combine bounding boxes, polygons, and rotated bounding boxes for varied component shapes and defects while keeping sensitive product data in-house. The platform enabled migration of existing annotations, centralized class and project management, automated the identification of potentially incorrect labels through Auto-Curate, and supported object-level model diagnosis, dataset slicing, and similar-image search. By integrating labeling, quality review, dataset exploration, and progress tracking, the workflow reduced the operational burden on team members who handled both annotation and management, with the case emphasizing that dataset quality and labeling operations are central to manufacturing AI performance.

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