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A new era of shape inspection achieved through wide field of view and high resolution.
We have achieved a wide field of view and high resolution that has been difficult to realize until now. Changing the camera position or switching due to variety changes is almost unnecessary. Additionally, by simply swapping the camera and capture, standard area cameras (2D CCD/C-MOS cameras) can also be used.
Learn directly from defective samples! Automating the inspection of food shapes.
In the food industry, inspecting for foreign object contamination and shape defects is crucial to ensure product quality and safety. Particularly as manufacturing lines become faster, relying solely on visual inspections can lead to oversights. NuLMiL contributes to improving inspection accuracy and efficiency by automatically detecting and classifying defects through AI, simply by marking the defective areas. 【Use Cases】 - Shape inspection of food products - Foreign object contamination inspection - Quality control on manufacturing lines 【Benefits of Implementation】 - Improved inspection accuracy - Reduced inspection time - Lower labor costs - Prevention of defective products from being released
