
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.

Who we are
Problem

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

Difficulty of Preparing Data
Gathering data on defective products proves challenging, yet it's important

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

360-Degree Imaging and 3D Abnormality Detection
Rotate objects for omnidirectional photos, ensuring high-accuracy anomaly detection

Precise Detection of Small and Unknown Abnormalities
Detect small and unknown anomalies using integrated multi-AI functions

Small Data, High Accuracy Detection
Detect even minor defects with few normal images, ensuring nothing is missed

Continuous Automated Learning
Continuous learning mechanism reduces maintenance costs without engineers
外観導入検査のメリット
Benefit

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

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

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

Rubber Products
Dents/ scratches/ stains/ uneven color/ etc.

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

Glassware
Scratches/ cracks/ dirt, etc.
主な活用対象
Main Usage Scenarios

Mitigation of Labor Shortage and Successor Issues
Automate inspections to reduce workload and address successor shortages and training.

Stabilization and Improvement of Inspection Quality
Approach zero human errors and achieve uniform inspection quality

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.

