DEEP LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT DETECTION

The principles of operation of convolutional neural networks, which are one of the key tools of modern deep learning, are studied.A software implementation is carried out for 1) determining the state of a car using logical functions; 2) determining the state of the road by the type of weather conditions using logical functions; 3) an algorithm for recognizing road signs using computer vision.

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Publication Details

Journal
Людина і космос.
Published
2025-04-18
DOI
https://doi.org/10.62717/2221-4550-2025-1-021
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
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article

DEEP LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT DETECTION

Herhel Nemesh
Людина і космос.
Industrial Vision Systems and Defect Detection
article

DEEP LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT DETECTION

Herhel Nemesh
article en

Abstract

The principles of operation of convolutional neural networks, which are one of the key tools of modern deep learning, are studied.A software implementation is carried out for 1) determining the state of a car using logical functions; 2) determining the state of the road by the type of weather conditions using logical functions; 3) an algorithm for recognizing road signs using computer vision.

Людина і космос.
Uzhhorod National University (UA)
Reduced inequalities
Openalex Percentile: Top 82%
Industrial Vision Systems and Defect Detection
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DEEP LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT DETECTION — Herhel Nemesh · Людина і космос. (2025) | TGRS Research Map | TGRS