HCSL Software Repository

Intelligent Quality Control

Chatzimichail RA, Hatjimihail AT. Intelligent Quality Control: A Software Tool for Exploring the Application of Convolutional Neural Networks to Quality Control Samples of Very Small Size. Ver. 1.0.4. Drama: Hellenic Complex Systems Laboratory, 2022


This software tool was developed to explore the application of convolutional neural networks to quality control (QC) samples of 1-4 measurements and compare them to statistical QC functions.


Intelligent Quality Control complements to Intelligent Quality

Source code (Revised on 02/11/2022)

Technical Report

Related publications

Software Requirements

Operating Systems: Microsoft Windows, Linux, Apple iOS

Programming language: Wolfram Language

Software source code file format: Wolfram Notebook

Other software requirements: Wolfram Player (freely available) or Wolfram Mathematica

Recommended system: Intel Core i7 or equivalent CPU and 16GB+ of RAM

Software license: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License