Anomaly detection & classification

More than detection: the power of classification

Anomaly detection is the most advanced application of Edge-Vision-4.0. We go beyond merely locating faults: using Deep Learning and trained neural networks, we classify every defect immediately. This enables you to address the root cause of the defectsupstream in your process and minimize waste.

AI-powered quality control

Based on a dataset of images pre-classified by the customer, we use artificial intelligence to build a powerful neural network. This model is then deployed for in-line quality control, allowing the system to continuously trace complex, unknown, and hard-to-see defects in materials like textiles, plastics, and battery film.

What can we detect?

Spot Detection

Identifies spots in extruded films and sheets.

Stripe Detection

Detects length-direction stripes from die contamination in extruded sheets.

Foreign Object Detection

Finds foreign objects in non-woven materials

Anomaly Detection

Identifies holes, stains, stitching errors, and printing anomalies in textiles

Defect Detection

Detects fractures and defects in battery film coatings

Color and Glossiness Detection

Quantifies color variations and identifies surface glossiness variations or transparency issues.

Real-time defect analysis at production speed.

The speed and precision of our anomaly detection are guaranteed by the integration of advanced technologies:

4K Camera chip technology

Enables the detection of anomalies down to hundredths of a millimeter.

Edge computing

The 4K image data is processed locally in real-time, avoiding data bottlenecks and cloud latency. This ensures immediate reaction to every detected defect.

Deep learning & data compression

Translates large volumes of defect data into immediate, actionable metrics and decisions for the operator.

Trusted by Industry Leaders

Our technology proves its worth daily in the most demanding production environments, tackling critical quality challenges.

Federal Eco Foam, a leading foam manufacturer, shares how Edge-Vision-4.0's AI inspection capability helped them eliminate critical contaminants (like hidden plastic or metal) in their complex recycled materials, transforming their quality control and significantly reducing waste.