Article · CyberLeninK

REAL-TIME AUTOMATIC FRUIT SORTING BASED ON THE INTEGRATION OF COMPUTER VISION METHODS AND ARTIFICIAL INTELLIGENCE MODELS

Ulmasjon Ulfat ugli Abdixalilov, Aliyev A. S.

Abstract

This paper presents image processing methods and artificial intelligence models for automatic fruit sorting in industrial environments. A system based on computer vision and deep learning technologies is proposed, enabling real-time classification of fruits according to color and quality characteristics. Image preprocessing, segmentation, and feature extraction algorithms are developed, and a convolutional neural network model is applied to improve classification accuracy. Experimental results demonstrate the effectiveness of the proposed approach, ensuring stable system performance and high recognition accuracy. The obtained results can be applied in automated production lines to improve product quality and reduce operational costs.

Smart Agriculture and AIAdvanced Neural Network ApplicationsIndustrial Vision Systems and Defect Detectionautomatic fruit sortingreal-time classificationcomputer vision

REAL-TIME AUTOMATIC FRUIT SORTING BASED ON THE INTEGRATION OF COMPUTER VISION METHODS AND ARTIFICIAL INTELLIGENCE MODELS

Abstract

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