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  5. Other inspection equipment and devices
  6. "NuLMiL," an appearance inspection AI that can automatically classify defects by painting and memorizing.

"NuLMiL," an appearance inspection AI that can automatically classify defects by painting and memorizing.

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last updated:Apr 02, 2024

Anamorphosis Networks
Anamorphosis Networks
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Automatic appearance inspection with AI × image recognition! Achieving high defect detection accuracy with a small amount of defective and good product data through hybrid learning.

Our "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.

    Other inspection equipment and devices
検査事例.png

"NuLMiL," an appearance inspection AI that can automatically classify defects by painting and memorizing.

検査事例.png
検査事例.png
  • Related Link - https://anamorphosis.net/products/nulmil/

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basic information

【NuLMiL Equipped Automatic Inspection Device】 ■NuLMiL Integrated Semiconductor Wafer Inspection Device (Inspection Target: Semiconductor Wafers) ■Multi-Angle Inspection Device "AIM-CIS" (Inspection Target: Processed Parts) ■Whole Palette Inspection Device "IKZ-02" (Inspection Target: Small Molded Parts)

Price information

The price will be open. Please feel free to contact us for more details.

Price range

P5

Delivery Time

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※Delivery times may vary depending on the implementation type and the presence of hardware. Please feel free to contact us.

Applications/Examples of results

[Inspection Cases] ■Holes in tile materials ■Cracks in aluminum processed products ■Scratches on semiconductor wafers ■Scratches on aluminum processed products ■Burrs on holes in metal parts ■Scratches on aircraft painted products

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NuLMiL

NuLMiL

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Notice of Participation in Monozukuri World [Nagoya]

  • Seminar・Event

We would like to inform you about the exhibition we will be participating in. At this exhibition, you will have the opportunity to experience our AI solution that automates visual inspection (sensory inspection) in the manufacturing industry and standardizes inspection criteria variations. You will also be able to see a demonstration of our latest automated inspection AI, "NuLMiL," which features the industry's first technology, "Autonomous Learning," achieving a significant improvement in accuracy, as well as an automated inspection demo of automotive parts (headlights and camshafts) using NuLMiL. We sincerely invite you to visit us. ■ Exhibition Overview Name: Manufacturing World [Nagoya] "Measurement, Inspection, and Sensor Exhibition" Dates: April 10 (Wednesday) to April 12 (Friday), 2024, from 10:00 AM to 5:00 PM each day Venue: Port Messe Nagoya, Hall 3 Booth Number: 27-5 (It will be immediately to the left after turning left at the fourth corner upon entering the venue) We sincerely apologize for the inconvenience during your busy schedule, but we look forward to welcoming you.

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AI Automated Inspection Seminar [Appearance Inspection 3.0] Online Event [Held on 4/23 (Tuesday)]

  • Seminar・Event

We are pleased to announce that we will be hosting an online seminar titled "AI Automated Inspection Seminar [Visual Inspection 3.0]" on Tuesday, April 23, 2024. Seminar Overview ■ Part 1: "Introduction to Solutions for Variability in Visual Inspection Using AI" (14:00~14:50) ■ Part 2: "Introduction to Case Studies of Improved Inspection Accuracy through the Trending 'Autonomous Learning'" (15:00~15:45) Recommended for: ■ Those who want to reduce variability in visual inspection ■ Those looking for vendors of automated inspection ■ Those who want to gain a deeper understanding of AI in visual inspection Event Details 【Date】 : Tuesday, April 23, 2024, 14:00~15:45 (Participation and exit during the seminar are allowed) 【Location】 : Web Seminar (Zoom is planned) 【Participation Fee】 : Free 【Registration】 : Please fill out the necessary information in the form at the bottom of this page to register. 【Note】 : Participation is not allowed for companies or individuals that are competitors in the same industry. For more details and to register, please visit: https://anamorphosis.net/news/20240405150000/

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Anamorphosis

Anamorphosis Networks

IT/Telecommunications

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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.

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