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AI Visual Inspection

Automate product inspection faster and more accurately

The "Visual Inspection AI Solution" is a solution that detects abnormalities in products on the production line with high accuracy.Visual inspection of products is an important task for manufacturers of automobiles, food, cosmetics, etc. By introducing AI, it is possible to quickly and accurately perform visual inspections for many inspection items, a process that previously relied on visual inspection and intuition. NABLAS's proprietary technology can be used on the same day without data annotation and can also classify abnormalities.

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Who we are

Problem

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Expert Needed

High technical expertise necessitates an internal system centered on engineers for implementation and maintenance

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Difficulty of Preparing Data

Gathering data on defective products proves challenging, yet it's important

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Ongoing Development Costs

Continuous data creation and model improvement are essential to sustain performance upon implementation

ソリューションの特徴

Solution Features

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360-Degree Imaging and 3D Abnormality Detection

Rotate objects for omnidirectional photos, ensuring high-accuracy anomaly detection

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Precise Detection of Small and Unknown Abnormalities

Detect small and unknown anomalies using integrated multi-AI functions

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Small Data, High Accuracy Detection

Detect even minor defects with few normal images, ensuring nothing is missed

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Continuous Automated Learning

Continuous learning mechanism reduces maintenance costs without engineers

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Benefit

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Metal Products

Dents/ cracks/ insufficient plating/ cracks/ rust/ dirt/ adhesions/ burrs/ etc.

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Plastic Products

Dents/ scratches/ sink marks/ black spots/ deformations/ etc.

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Precision Parts

Broken wire/ insufficient solder/ chipped terminal/ bent terminal/ solder bridge/ missing parts/ etc.

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Rubber Products

Dents/ scratches/ stains/ uneven color/ etc.

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Food

Contamination with remains such as bones/ pinholes in packaging/ misaligned or torn container labels/ etc.

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Glassware

Scratches/ cracks/ dirt, etc.

主な活用対象

Main Usage Scenarios

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Mitigation of Labor Shortage and Successor Issues

Automate inspections to reduce workload and address successor shortages and training.

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Stabilization and Improvement of Inspection Quality

Approach zero human errors and achieve uniform inspection quality

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Improvement of Inspection Speed and Scalability 

Enhance inspection speed with AI and achieve easy scalability through parallelization

Main Usage Scenarios

外観検査の自動化

中小企業

AIによる外観検査の自動化で、品質と作業負担の両立を実現

ソミックトランスフォーメーション

導入前の課題  

  • 異常データが限られている中でも、高精度な異常検知を実現したい 

  • 人手不足や作業負担の偏りを減らし、検査業務の効率と安定性を高めたい

  •  高精度な検査が求められる中、AI導入における高いコストを抑えたい

解決ポイント

  • 現場の検査員が暗黙的に判断していた基準をAIが理解できる形で整理し、現場で学習・改善できる構造を構築 

  • 教師なしモデルを活用し、良品データと少数の不良品データから複数の異常パターン画像をAIが生成・学習することで、検出精度を向上 

  • 中小企業でも導入可能なコストで実装でき、業界全体への展開が見込める

If you would like more detailed information about NABLAS's Visual Inspection, please feel free to contact us. If you provide images of good products, we can quickly perform a simple PoC for free.

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Related Technologies

We will use AI technology to solve business issues in each industry.

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