title: ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ Ð² Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ðµ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ ÐºÐ°ÑÐµÑÑÐ²Ð°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Using computer vision in an automated quality control system
Creators: name: ÐÐ¸ÐµÐ½, ÐÐ¸
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2025
Subjects: Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ ÐºÐ°ÑÐµÑÑÐ²Ð°
Ð²Ð¸Ð·ÑÐ°Ð»ÑÐ½Ð°Ñ Ð´ÐµÑÐµÐºÑÐ¾ÑÐºÐ¾Ð¿Ð¸Ñ
ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð·ÑÐµÐ½Ð¸Ðµ
automated quality control system
visual defectoscopy
computer vision

description: Ð¦ÐµÐ»Ñ â ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹ Ð¿Ð¾ Ð¿Ð¾Ð´Ð±Ð¾ÑÑ Ð³Ð¸Ð¿ÐµÑÐ¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð²Ð¸Ð·ÑÐ°Ð»ÑÐ½Ð¾Ð¹ Ð´ÐµÑÐµÐºÑÐ¾ÑÐºÐ¾Ð¿Ð¸Ð¸ Ð² Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ðµ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¿ÑÑÑÐ¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¸Ñ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð½Ð° Ð¼ÐµÑÑÐ¸ÐºÐ¸ ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÐ°Ð±Ð¾ÑÑ Ð¼Ð¾Ð´ÐµÐ»Ð¸. ÐÐ»Ñ Ð´Ð¾ÑÑÐ¸Ð¶ÐµÐ½Ð¸Ñ ÑÐµÐ»Ð¸ ÑÐµÑÐ°Ð»Ð¸ÑÑ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸: 1) ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð´Ð»Ñ Ð´ÐµÑÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð´ÐµÑÐµÐºÑÐ¾Ð²; 2) Ð°Ð½Ð°Ð»Ð¸Ð· Ð¼ÐµÑÑÐ¸Ðº ÑÐ°Ð±Ð¾ÑÑ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ ÐµÑ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸; 3) Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð³Ð¸Ð¿ÐµÑÐ¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð½Ð° ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ; 4) Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ° ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹ Ð¿Ð¾ Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÐµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¸ ÐµÑ Ð¸Ð½ÑÐµÐ³ÑÐ°ÑÐ¸Ð¸. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ Ð²Ð¸Ð·ÑÐ°Ð»ÑÐ½Ð¾Ð¹ Ð´ÐµÑÐµÐºÑÐ¾ÑÐºÐ¾Ð¿Ð¸Ð¸, Ð¿ÑÐ¾Ð¸Ð·Ð²ÐµÐ´ÑÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² ÐµÑ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ (Ð¼ÐµÑÑÐ¸Ðº), Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐ¾ÑÑÐ°Ð²Ð»ÐµÐ½Ñ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ Ð¿Ð¾ Ð¿Ð¾Ð´Ð±Ð¾ÑÑ Ð³Ð¸Ð¿ÐµÑÐ¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð². Ð Ð°Ð±Ð¾ÑÐ° Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð° Ð² Ð¾Ð±Ð»Ð°ÑÐ½Ð¾Ð¹ ÑÑÐµÐ´Ðµ Google Colab, Ð³Ð´Ðµ Ð¿ÑÐ¾Ð²Ð¾Ð´Ð¸Ð»ÑÑ Ð·Ð°Ð¿ÑÑÐº Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð½Ð° GPU-ÑÑÐºÐ¾ÑÐ¸ÑÐµÐ»Ðµ. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¾Ð±ÐµÑÐ¿ÐµÑÐ¸Ð²Ð°ÐµÑ Ð±Ð¾Ð»ÐµÐµ Ð´Ð¾ÑÑÑÐ¿Ð½Ð¾Ðµ Ð¸ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐ½Ð¾Ðµ ÑÐµÑÐµÐ½Ð¸Ðµ Ð´Ð»Ñ Ð¼Ð°Ð»ÑÑ Ð¸ ÑÑÐµÐ´Ð½Ð¸Ñ Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ð¹, Ð¿Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ Ñ Ð´Ð¾ÑÐ¾Ð³Ð¸Ð¼Ð¸ Ð³Ð¾ÑÐ¾Ð²ÑÐ¼Ð¸ ÑÐµÑÐµÐ½Ð¸ÑÐ¼Ð¸, Ð° ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ Ð¿Ð¾ Ð¿Ð¾Ð´Ð±Ð¾ÑÑ Ð³Ð¸Ð¿ÐµÑÐ¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² ÑÐ¿ÑÐ¾ÑÐ°ÑÑ Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÑ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐ¸ Ð´Ð»Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÐºÐ°ÑÐµÑÑÐ²Ð° ÐµÑ ÑÐ°Ð±Ð¾ÑÑ.
description: The goal â development recommendations for configuring the hyperparameters of a neural network for visual defectoscopy in an automated quality control system, based on studying the impact of hyperparameters on the quality metrics of the model.Â  To achieve this goal, the following tasks were completed: 1) development of a neural network for defect detection; 2) analysis of model metrics and performance evaluation; 3) investigation of the hyperparametersâ impact on training results; 4) preparation of recommendations for model configuration and integration. A neural network for visual defectoscopy was developed, and an analysis of the training results (metrics) was conducted. Recommendations for hyperparameter selection were compiled. The work was carried out in the Google Colab cloud environment, where the neural network programming algorithm was launched on a GPU accelerator. Development of own computer vision model for an automated quality control system provides a more accessible and cost-effective solution for small and medium-sized enterprises, compared to expensive ready-made solutions, and recommendations for selecting hyperparameters simplify setting up a neural network to improve the quality of its work.