From transparent items to small ones and those with complex shapes! Here are some detection examples using NuLMiL.
We 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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basic information
【Other Overview】 ■Software ・NuLMiL ■Optical System ・Transparent Container Light Guide Plate Lighting FHD Webcam ・Small, Complex-Shaped Container IKZ-01 *For more details, please refer to the PDF document or feel free to contact us.
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Applications/Examples of results
【Purpose】 ■Appearance inspection of plastic containers 【Recommended for】 ■Plastic product manufacturers ■Those facing challenges in quality control *For more details, please refer to the PDF document or feel free to contact us.
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Company information
Our company is a group of engineers that realizes system development and industrial efficiency using AI technology through the development and sales of software utilizing advanced technology. Currently, we are engaged in providing appearance inspection solutions using AI and image processing for the manufacturing industry. In the manufacturing sector, strict selection criteria are established for products, and companies must conduct inspections to meet these standards. With the increasing diversification of manufactured products, dedicated inspection systems are unable to keep up, resulting in the necessity of visual inspections by humans. Since pass/fail judgments are made based on human senses, even if manuals such as limit samples are created, human errors can occur, leading to variations in judgment criteria among inspectors. Naturally, as humans, differences in work accuracy and speed arise due to mental and physical fatigue. To address this issue, our company is continuously developing inspection solutions capable of accommodating diverse manufacturing. We have fully developed and sold eight types of software to date.