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EVS Process

Capture-Label-Train-Deploy-Action

Our AI vision system follows a proven five-step process to deliver exceptional quality control and defect detection across your production line.

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Process flow diagram

Our Process

From Capture to Quality

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Image Capture

Image Capture

Industrial cameras capture high-resolution images with super human speed directly from the production line.

Label

Label

Captured images are accurately annotated with defect types such as stains, holes, and seams.

Train

Train

Advanced machine learning models, including deep learning networks, are trained on labeled images to detect, classify, and predict defects with high accuracy and minimal error.

Deploy

Deploy

Trained models are deployed on edge devices or cloud platforms, integrating seamlessly with the production line for real-time monitoring and automated decision-making.

Action

Action

The system triggers automated actions such as alerts, sorting, or quality adjustments based on detected defects, ensuring efficient production and reduced manual inspection.

How we work

Meticulous attention to every detail

EVS inspects production with superhuman speed, detecting defects and inconsistencies missed by manual checks, ensuring precise quality control.