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Mayeryn AI Vision Classifier

Description

A proprietary AI system based on deep neural networks, designed for real-time defect detection and product classification. The system is scalable and parameterizable, allowing it to be adapted to virtually any production line. It operates in visible light and can be expanded with IR/UV and 3D sensors.


Key Features

Detects damage, deformation, scratches, and geometric defects.

Classifies product types in industrial environments.

Ability to train models on new data.

PLC Integration


Specifications
  • > Number of processed images per second: 75 for 3 cameras (can be increased);
  • > Element processing time: 5ms – 200ms;
  • > Classification: damage, distortion, defect, condition, position (can be adjusted);
  • > Number of training database images: 100 to 100,000 depending on the complexity of the problem;
  • > Queuing and multithreading system;

Equipment list

  • > 2D FHD cameras;
  • > Image processing server;
  • > PLC + actuators (sorters, rejectors, signaling devices);

Additional Improvements

  • > Automatic error logging and work tracking;
  • > Operator panel/WebUI (camera preview, parameter changes, statistics);
  • > Active learning mode – the system automatically asks the operator to add missing labels and adds them to the training database;
  • > Anomaly detection (unsupervised), useful when defects are difficult to define;

Any questions?

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