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We would like to introduce a detection case using the visual inspection system "NuLMiL." It can be applied to detect sand particle contamination in shellfish and seaweed. By clearly capturing sand particles of about 0.2mm using an X-ray imaging device, we have made inspection possible. 【Challenges】 ■ We want to automate and reduce manpower for items currently inspected visually. ■ We want to find thin bones that are difficult to detect with X-rays. ■ The judgment accuracy of existing X-ray inspection devices is low. 【Verification Details】 ■ Captured images of sand particles in shellfish and seaweed under settings suitable for detection. ■ Successfully detected sand particles in shellfish and seaweed using our product. *For more details, please feel free to contact us.
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Free membership registrationWe would like to introduce a detection case using the visual inspection system "NuLMiL." It can be applied to the detection of fish bones. By clearly capturing thin bones with a width of 0.2mm using an X-ray imaging device, we have made inspection possible. 【Challenges】 ■ We want to automate and reduce manpower for items currently inspected visually. ■ We want to find thin bones that are difficult to capture with X-rays. ■ The detection accuracy of existing X-ray inspection devices is low. 【Verification Details】 ■ Capture images with settings that allow for the detection of the desired bones. ■ Successfully detected bones using this product. *For more details, please feel free to contact us.
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Free membership registrationWe would like to introduce a detection case using the appearance inspection system "NuLMiL." It can be applied to the detection of defects in toothbrush products. By clearly capturing the dirty areas of the brush and the chipping of the resin parts with a microscope, we have made inspection possible. 【Challenges】 ■ We want to automate and reduce manpower for inspections currently done visually. ■ It is difficult to conduct inspections using AI for small lot, diverse production. ■ We want to classify defects by type, such as scratches and discoloration. ■ Light reflection from the product can lead to false detections. 【Verification Details】 ■ Photography with lighting tailored to the container. ■ Using inexpensive lighting and cameras to reduce implementation costs. ■ This product can accommodate diverse manufacturing and defect classification. *For more details, please feel free to contact us.
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Free membership registrationOur "NuLMiL" is an AI automatic visual inspection system that learns defective patterns with each application and automatically classifies types of defects. The AI, trained with color-coded image data differentiated for each type of defect, automatically identifies and classifies defects based on the applied colors. Through deep learning of good and defective products, it learns patterns of anomalies and defects to build a model for evaluating the appearance of products. This enables high detection accuracy with a small amount of defective product data, allowing for the classification of defect types as well as the detection of unknown defects. We have many achievements, including holes in tile materials, cracks in aluminum processed products, scratches on semiconductor wafers, scratches on aluminum processed products, burrs from holes in metal parts, and scratches on aircraft coatings. 【Features】 ■ Deep learning for good and defective product training ■ High-precision detection with a small amount of defective product data ■ Detection of unknown defects in addition to classification of defect types *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registration【Compact Camera】 It has mounting holes on the sides and back, allowing for a high degree of freedom in installation angles. Additionally, it comes standard with ring lighting, which also helps save space for inspection machines. 【Industrial Specialization】 To ensure usability outside of clean rooms, it is designed with waterproof and dustproof specifications, making it suitable for various environments. 【Externally Controllable】 As a driver-free camera, it can be controlled to adjust parameters suitable for each environment using tools like OpenCV.
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Free membership registrationWe would like to introduce a detection case using the appearance inspection system "NuLMiL." It can be applied to the detection of defects in wall materials and panel materials. In the verification, images captured using a line sensor camera and bar lighting were used to train and judge against calcium silicate board materials, successfully classifying cracks, scratches, dirt, and polishing unevenness. 【Challenges】 - We want to automate and reduce labor for inspections currently done visually. - AI inspection is difficult for small lot, diverse manufacturing. - We want to classify defects by type, such as scratches and discoloration. - There is variability in inspection standards among inspectors. 【Verification Details】 - Images were captured using a line sensor camera and bar lighting. - This product was used to correspond to defect classification. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce a detection case using the appearance inspection system "NuLMiL." It is applicable for detecting defects in mirror-finished and plated products. Using special lighting to capture images without reflections, we conducted verification with this product and successfully detected and classified defects such as scratches and foreign objects. This imaging technique is also applied to INZ-02, and semi-automation is possible for small parts. 【Challenges】 - We want to automate and reduce manpower for inspections currently done visually. - Inspection using AI is difficult for small lot, diverse manufacturing. - We want to classify defects by type, such as scratches and discoloration. - Light reflects off the product, leading to false detections. 【Verification Details】 - Captured images using special lighting. - Used this product to address defect classification. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce some detection cases using the visual inspection system "NuLMiL." NuLMiL is applicable for detecting defects in die-cast products. By conducting verification on images captured using industrial cameras and lighting, we have successfully detected and classified defects such as scratches and burrs. Since a single AI can be applied to inspect products of multiple shapes, easy and safe operation can be achieved. 【Challenges】 ■ We want to automate and reduce manpower for inspections currently done visually. ■ Inspection using AI is difficult for small-lot, diverse manufacturing. ■ We want to classify defects by type, such as scratches and discoloration. ■ Light reflection from the product causes false detections. 【Verification Details】 ■ Images were captured using general industrial cameras and lighting. ■ Our product was used to accommodate diverse manufacturing and defect classification. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce detection examples using the visual inspection system "NuLMiL." It can be applied to the detection of defects in plastic products. For transparent containers, by using backlighting with a light guide plate, we can clearly capture the defective parts. For small containers or those with complex shapes, we have made it possible to conduct a full inspection by rotating the container while capturing images using the IKZ-01. 【Challenges】 - We want to automate and reduce the manpower required for inspections currently done visually. - Inspection using AI is difficult for small lot, diverse production. - We want to classify defects by type, such as scratches and discoloration. - Light reflection from the product can lead to false detections. 【Verification Details】 - Capturing images with lighting tailored to the container. - Using inexpensive lighting and cameras to reduce implementation costs. - Utilizing this product to accommodate diverse production and defect classification. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationIKZ-01 is a general-purpose appearance inspection device equipped with Anamor's appearance inspection AI "NuLMiL." With a turntable, it enables a full 360° inspection of the entire product. The double lighting from above and the side clearly reveals defects that are difficult to see on the top and sides. It supports small-lot, multi-variety production, allowing for the inspection of various products with just this one device. *Proposals for automated configurations such as conveyor transport and robotic arms are also possible. 【Features】 ■ Capable of 360° inspection ■ Clearly reveals hard-to-see defects with double lighting ■ Supports small-lot, multi-variety production, enabling inspection of various products *Currently, we are offering free verification exclusively for those who have downloaded the materials. Please take this opportunity to view the product details in the materials by clicking the "PDF Download" button below.
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Free membership registrationThis product is a semiconductor-specific automatic appearance inspection device that utilizes cutting-edge AI. It can automatically detect nano-sized fine polishing marks, orange peel, grain patterns, crystal defects, and other issues that are difficult to confirm with the naked eye on the surfaces of glass, quartz, and sapphire. Detected defects can be classified by defect type. 【Detection Examples】 ■ Scratch ■ Crack ■ Dimple ■ Watermark ■ Slip ■ So-mark ■ Void *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registration"Oivio" is software that learns the shapes of colored objects through coloring training and automatically counts them. By training the AI with colored data of the objects to be counted, it learns the shapes and performs detection and counting automatically. 【Features】 ■Significantly improves the efficiency of counting tasks ■Can count various items (pipes, nutritional products) ■Operable even when products change ■Equipped with a history verification function *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationOur "NuLMiL" is an appearance inspection AI solution that learns defective patterns with each application and automatically classifies defect types. The AI, trained with color-coded image data that distinguishes each defect, automatically identifies and classifies defects based on the applied colors. Through hybrid learning of good and defective products, it achieves high detection accuracy with a small amount of defective product data, detecting not only classified defect types but also unknown defects. 【Features】 ■ Automation of sensory inspection through AI creation using limit samples and dimensional information ■ Hybrid learning of good and defective products ■ High detection accuracy with a small amount of defective product data ■ Detection of unknown defects in addition to classification of defect types *For more details, please refer to the PDF document or feel free to contact us. *Free verification is also available. Please inquire for more details.
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Free membership registrationThe "IKZ-02" is an automatic visual inspection device that allows for inspection while the products are still in the distribution pallets, simply by placing the product-filled pallets on a dedicated stand after arrival and before shipment. It can accommodate small molded parts, ranging from metal components to resin parts. The operator only needs to replace the pallets of inspected products. Automation of the transport work is achieved with a robotic arm and air cylinders. 【Features】 ■ Inspection can be performed on distribution pallets "as is" by lot ■ Fully automatic inspection except for pallet replacement ■ Significant speed-up of the inspection process ■ Capable of inspecting products with mirror-like reflections ■ 360° inspection capability *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registration"FlashCount" is a system that efficiently counts bundles of pipes and similar items using smartphones and the cloud. By analyzing captured images, it can instantly determine the quantity, significantly streamlining operations. No special photography equipment is required. If you purchase a dedicated smartphone, you can start using it the same day. 【Features】 ■ Automatic counting with AI ■ Significant efficiency improvement over manual counting ■ Photos and counting history are stored in a database ■ History can be checked at any time ■ Available for immediate use upon purchasing a dedicated smartphone *For more details, please refer to the PDF materials or feel free to contact us.
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Free membership registrationThis product is a device that allows for automatic inspection while freely moving the camera. It can perform a full inspection on various products up to the size of W250×D250×H200 (mm). By teaching according to the workpiece, it can accommodate automatic appearance inspection for small lot, diverse manufacturing. 【Features】 ■ Inspection constraints are only based on product size ■ Can inspect all desired areas without missing any ■ Customization according to the inspection environment is possible ■ Customization for inline applications is also implemented ■ Exhibits excellent cost performance *For more details, please refer to the PDF document or feel free to contact us.
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