Full text of article: Russian language.
Abstract:
We consider the advantages of the distributed architecture of the machine vision systems (MVS) for registration of the trains. It is noted that this solution provides transparent increasing the functionality of MVS and improvement its quality, the formation of new intellectual properties of the system based on the possibilities of a posteriori multivariate iterative processing of stored video in the background. The basic principles of such intelligent vision systems have been successfully tested to create a distributed vision system of railway tanks registration.
Key words:
machine vision, distributed processing, character recognition, intelligent data storage.
References:
- Lecky, N.Machine Vision Gets Moving: Part III // Vision Systems Design. – 2011. – Vol. 16, N 11. – P. 7-11.
- Wilson, A. License plate recognition software targets embedded systems // Vision Systems Design. – 2012. – Vol. 17, N 1. – P. 12-13.
- Train OCR Portal // http://www.camco.be/camco/en/products/train-ocr-portal
- Rail Automation // http://www.htsol.com/Products.asp?id=83.
- AEI/OCR system verification. Technical Report TP 14143E // DTI Telecommunications, 2003.
- Aliyev, E.V. Optical identification of objects of rolling stock in the tasks of management of railway transportation / E.V. Aliyev, E.N. Vesnin, L.L. Malygin, A.U. Mikhailov, V.A. Tsarev // Automation in industry. – 2009. – N 5. – P. 49-54. – (In Russian).
- Tranzit-Inspector: recognition of train cars numbers // http://www.iss.ru/products/transit/ – (In Russian).
- System of recognition of train cars numbers «KAU-V» // http://www.tvema.ru/ru/productList_3776.html – (In Russian).
- Automated system of weighing and identification of railway wagons // http://www.shtrih?m.ru/production/produce_658.html – (In Russian).
- Recognition of train cars numbers // http://www.itv.ru/products/intellect/additional_modules/rw/ – (In Russian).
- Bulanov, A.P. Vision System for Registration of Railway Tank-cars / A.P. Bulanov, S.G. Volotovskii, N.L. Kazanskiy, S.B. Popov, R.V. Khmelev, S.M. Shumakov // Automation in industry. – 2005. – ¹ 6. – P. 57-59. – (In Russian).
- Volotovskii, S.G. Machine Vision System for the Recognition of Numbers of Railway Tank-cars with the Use of Modified Correlator in the Hausdorf Metric / S.G. Volotovskii, N.L. Kazanskiy, S.B. Popov, R.V. Khmelev // Computer Optics. – 2005. – Vol. 27. – P. 177-184. – (In Russian).
- Volotovskii, S.G. Machine Vision System for Registration of Oil Tank Wagons / S.G. Volotovskii, N.L. Kazanskii, S.B. Popov, R.V. Khmelev // Pattern Recognition and Image Analysis. – 2005. – Vol. 15, N 2. – P. 461-463.
- Kazanskiy, N.L. Machine Vision System for Determining the Number of Gel Particles in a Solution of Polymer / N.L. Kazanskiy, S.B. Popov // Computer Optics. – 2009. – Vol. 33, N 6. – P. 325-331. – ISSN 0134-2452. – (In Russian).
- Kazanskiy, N.L. Machine Vision System for Singularity Detection in Monitoring the Long Process / N.L. Kazanskiy, S.B. Popov // Optical Memory and Neural Networks (Information Optics). – 2010. – Vol. 19, N 1. – P. 23-30.
- Glumov, N.I. Pattern detection and recognition in images / N.I. Glumov, V.V. Myasnikov, V.V. Sergeyev // Computer Image Processing, Part II: Methods and algorithms / edited by Victor A. Soifer; A.V. Chernov [et al.] – VDM Verlag, 2010. – Chapter 9. – P. 297-387. – ISBN 978-3-639-17545-5.
- Izotov, P.Yu. CUDA-Enable Implementation of a Neural Network Algorithm for Handwritten Digit Recognition / P.Yu. Izotov, N.L. Kazanskiy, D.L. Golovashkin, S.V. Sukhanov // Optical Memory and Neural Networks (Information Optics). – 2011. – Vol. 20, N 2. – P. 98-106.
© 2009, IPSI RAS
Institution of Russian Academy of Sciences, Image Processing Systems Institute of RAS, Russia, 443001, Samara, Molodogvardeyskaya Street 151; E-mail: ko@smr.ru; Phones: +7 (846 2) 332-56-22, Fax: +7 (846 2) 332-56-20