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Glass disc optical sorting machine

A glass disc optical sorting machine offers several key advantages:
1. High Precision: The machine utilizes advanced optical technology to accurately sort and separate components based on their optical properties, ensuring minimal errors and efficient material handling.
2. Speed and Efficiency: It operates at high speeds, allowing for rapid processing of large quantities of glass discs, thereby increasing productivity and reducing labor costs in manufacturing processes.
3. Automated Sorting: By integrating AI and machine learning, these machines can continuously learn and adapt, autonomously optimizing the sorting process, leading to a more streamlined and consistent output.

  • unitecho
  • China
  • 15days
  • 1500
  • Information

Glass disc optical sorting machine Structure

A typical glass disc optical sorting machine consists of several core components. The system starts with an input conveyor belt, which carries the glass discs under inspection. At its heart lies an optical inspection unit, equipped with high-resolution cameras and specialized lighting that capture images of the discs' surface. This is followed by a series of sensors and image processing software that analyze the images for specific characteristics or defects. A central control unit coordinates the entire process, controlling motors and pneumatic systems for precise movement and placement of the discs into designated bins based on the detected features. An output conveyor then transports the sorted discs accordingly.

Glass disc optical sorting machine

Defect Detection

The machine is designed to detect a variety of defects in glass discs using advanced algorithms. These may include scratches, cracks, discoloration, warping, or irregular thickness variations. The cameras capture imperfections, which are then compared against pre-defined patterns or reference images. Edge detection sensors help identify flaws along the rim, while spectrometers check for uniformity in the glass composition. Machine learning algorithms continuously refine the detection capabilities, ensuring that the system can adapt to new types of defects or variations in the manufacturing process. Any identified defects are marked or rejected automatically, minimizing the risk of defective products reaching the end-users.

automated optical inspection equipment


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