The In-Sight vision system, combined with feature extraction technology, uses lighting and software algorithms to create high-contrast images that enhance the three-dimensional features of components. It can capture errors and defects such as torn, cracked or deformed labels. Monochrome and color models can identify color errors and inspect the consistency and quality of labels in terms of size, shape, color and material. This quality control measure can reduce errors, help meet label quality standards and ensure customer satisfaction.
The In-Sight vision system, combined with feature extraction technology, uses lighting and software algorithms to create high-contrast images that enhance the three-dimensional features of components. It can capture errors and defects such as torn, cracked or deformed labels. Monochrome and color models can identify color errors and inspect the consistency and quality of labels in terms of size, shape, color and material. This quality control measure can reduce errors, help meet label quality standards and ensure customer satisfaction.