Abstract: A defect inspection system is disclosed, and comprises a linear light source, N number of cameras, a display device, a tag reader, and a modular electronic device, in which the linear light source, the cameras and the modular electronic device are used for conducting a defect inspection of an article. On the other hand, the display device, the tag reader and the modular electronic device are adopted for conducting in production of at least one labeled example. Therefore, the modular electronic device is allowed to apply a machine learning process to an image classifier under using a training dataset containing the labeled examples, thereby producing at least one new defect recognition model or updating the existing defect recognition model.

Abstract: A surface inspection system for foil article is disclosed. The surface inspection system comprises a box having a top long narrow opening and a bottom long narrow opening, a bridge interface, a first light source, a second light source, a first modular camera device having a first camera, and a second modular camera device having a second camera. In which, the first light source, the second light source, the first modular camera device, and the second modular camera device all accommodated in the box, and are coupled to a control box through the bridge interface. Particularly, this surface inspection system is allowed to be integrated in an automatic production line of a foil article like electro-forming aluminum foil (also called electronic aluminum foil), so as to achieve an in-line inspection of the surface morphology of the electro-forming aluminum foil.

Abstract: A system for sorting moving objects is disclosed. The system comprises a light source, an image capturing device, a controlling and processing device, and an object sorting device. Particularly, the controlling and processing device is configured to decide a first setting parameter so as to apply a parameter adjustment to the light source, and is also configured to decide a second setting parameter so as to apply an parameter adjustment to the image capturing device. After deciding an object classifier based on the first setting parameter, the second setting parameter, and object images received from the image capturing device, the object sorting device is controlled to apply an object sorting process to the of objects that are delivered by the belt conveyor, thereby sorting the objects into at least two object group consisting of a normal object group and a defective object group.