Manufacture end-to-end automated production equipment for electrical connectors, optical connectors, and liquid-cooled connectors, and provide dedicated automated control and electronic systems.
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AboutWith the spirit of "pioneering and innovation," Unisign Automation leverages its extensive experience in design and application to provide customers with excellent and flexible comprehensive solutions. We continuously explore and innovate along the path of development.
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Technical ServiceWe provide users with advanced and professional customization of specialized automation equipment and technical services. We also offer a variety of standard products tailored for specific industries and hold a number of national patents.
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BlogsTracking industry developments, amplifying our message, and recording every achievement on our journey of growth and innovation.
The fully automated dimensional inspection system integrates AI algorithms and can simultaneously detect 12 types of surface defects.
Release time:
2026-04-13
Author:
Large-scale generating units are a critically important set of equipment in industrial production, playing an irreplaceable role across numerous sectors.
The fully automated dimensional inspection system, powered by integrated AI algorithms, delivers a dual‑function upgrade for both surface defect detection and dimension measurement. Equipped with high‑resolution industrial cameras and an intelligent lighting system, it simultaneously captures multi‑dimensional image data and employs deep learning algorithms to perform pixel‑level analysis of surface features. Its key advantage lies in its ability to detect 12 categories of common defects—including scratches, cracks, stains, holes, deformations, misalignments, burrs, material shortages, rust, color variations, foreign objects, and edge damage—with a detection accuracy down to 0.01 mm.
AI algorithms build a defect‑feature database through training on vast amounts of data, enabling adaptive handling of textural variations across different material surfaces—such as metal, glass, and plastic—and delivering precise defect detection even in complex scenarios. The system employs dynamic threshold‑adjustment technology to automatically optimize inspection parameters in response to changes in ambient lighting, ensuring repeatability with an error margin of less than ±0.05 mm. In pharmaceutical applications, the equipment can perform full‑dimensional measurements on containers like glass vials and ampoules while simultaneously detecting defects such as body cracks and rim burrs, reducing the inspection time per unit to under 4.5 seconds.
The system features a built-in intelligent data management module that generates real-time inspection reports detailing defect types, location coordinates, and dimensional deviations, seamlessly integrating with the MES. With multi-level access control and encrypted storage, it meets the stringent traceability requirements of highly regulated industries such as pharmaceuticals and electronics. This solution has undergone mixed‑package validation and extended commercial pilot testing, boosting first‑pass yield on production lines while reducing the need for manual re‑inspection by more than 80%.
Keywords:
Automatic equipment and accessories
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