Standard

Real-time Train Wagon Counting and Number Recognition Algorithm. / Vavilin, Andrey; Lomov, Andrey; Roman, Titkov.

Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems: 2nd International Workshop on Intelligent Systems. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Vavilin, A, Lomov, A & Roman, T 2022, Real-time Train Wagon Counting and Number Recognition Algorithm. in Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems: 2nd International Workshop on Intelligent Systems. Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems, Institute of Electrical and Electronics Engineers Inc., 2nd International Workshop on Intelligent Systems, IWIS 2022, Ulsan, Korea, Republic of, 17.08.2022. https://doi.org/10.1109/IWIS56333.2022.9920835

APA

Vavilin, A., Lomov, A., & Roman, T. (2022). Real-time Train Wagon Counting and Number Recognition Algorithm. In Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems: 2nd International Workshop on Intelligent Systems (Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWIS56333.2022.9920835

Vancouver

Vavilin A, Lomov A, Roman T. Real-time Train Wagon Counting and Number Recognition Algorithm. In Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems: 2nd International Workshop on Intelligent Systems. Institute of Electrical and Electronics Engineers Inc. 2022. (Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems). doi: 10.1109/IWIS56333.2022.9920835

Author

Vavilin, Andrey ; Lomov, Andrey ; Roman, Titkov. / Real-time Train Wagon Counting and Number Recognition Algorithm. Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems: 2nd International Workshop on Intelligent Systems. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems).

BibTeX

@inproceedings{f242219ce6c84ee9bf4f324ad1a31613,
title = "Real-time Train Wagon Counting and Number Recognition Algorithm",
abstract = "In this work we present an efficient solution for counting train wagons and recognizing their numbers using deep learning computer vision models. The proposed method is a good alternative for radio-frequency identification (RFID) method in terms of low cost and ease of use. Our system shows 99% accuracy in real-world scenarios, including corrupted wagon numbers and night shooting conditions. At the same time, the proposed method is capable to process video-stream in real-time speed without GPU-acceleration.",
keywords = "computer vision, deep learning, number recognition, object detection, wagon counting",
author = "Andrey Vavilin and Andrey Lomov and Titkov Roman",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2nd International Workshop on Intelligent Systems, IWIS 2022 ; Conference date: 17-08-2022 Through 19-08-2022",
year = "2022",
doi = "10.1109/IWIS56333.2022.9920835",
language = "English",
isbn = "9798350398939",
series = "Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems",
address = "United States",

}

RIS

TY - GEN

T1 - Real-time Train Wagon Counting and Number Recognition Algorithm

AU - Vavilin, Andrey

AU - Lomov, Andrey

AU - Roman, Titkov

N1 - Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - In this work we present an efficient solution for counting train wagons and recognizing their numbers using deep learning computer vision models. The proposed method is a good alternative for radio-frequency identification (RFID) method in terms of low cost and ease of use. Our system shows 99% accuracy in real-world scenarios, including corrupted wagon numbers and night shooting conditions. At the same time, the proposed method is capable to process video-stream in real-time speed without GPU-acceleration.

AB - In this work we present an efficient solution for counting train wagons and recognizing their numbers using deep learning computer vision models. The proposed method is a good alternative for radio-frequency identification (RFID) method in terms of low cost and ease of use. Our system shows 99% accuracy in real-world scenarios, including corrupted wagon numbers and night shooting conditions. At the same time, the proposed method is capable to process video-stream in real-time speed without GPU-acceleration.

KW - computer vision

KW - deep learning

KW - number recognition

KW - object detection

KW - wagon counting

UR - http://www.scopus.com/inward/record.url?scp=85141840059&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/3f113333-14d2-3cbc-9db4-3968ce8acf56/

U2 - 10.1109/IWIS56333.2022.9920835

DO - 10.1109/IWIS56333.2022.9920835

M3 - Conference contribution

AN - SCOPUS:85141840059

SN - 9798350398939

T3 - Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems

BT - Proceedings - IWIS 2022: 2nd International Workshop on Intelligent Systems

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Workshop on Intelligent Systems, IWIS 2022

Y2 - 17 August 2022 through 19 August 2022

ER -

ID: 39472269