Хранение и переработка сельхозсырья №4 - 2021

КОНТРОЛЬ КАЧЕСТВА И БЕЗОПАСНОСТИ ПРОДУКЦИИ АПК been developed. As a result of the research, the article concludes that it is promising to introduce a digital system for automatic quality control of dairy products labeling based on the use of a vision system. Key words: labeling, finished dairy products, quality control automation, vision system References Bezrukov, V. I. (2003). Nauchno-tekhnicheskie os- novy i apparatnoe obespechenie avtomati-zirovan- Andreeva, L. V. (2019). Pravovoe regulirovanie noi elektrokaplestruinoi markirovki izdelii [Scientific markirovki tovarov sredstvami identi-fikatsii v and technical bases and hardware of automat- elektronnoi forme [Legal regulation of mark- ed electroplating marking of products] [Candidate ing of goods by means of identification in elec- Dissertation, S-Petersburg gosudarstvennyi po- tronic form]. Yurist [Lawyer], 3, 20-27. https://doi. litekhnicheskii universitet]. S-Petersburg, Russia. org/10.18572/1812-3929-2019-3-20-27 Blagoveshchenskaya, M. M. (2009). Osnovy stabilizat- Arkhipov, P. O. (2003). Issledovanie metodov i sred- sii protsessov prigotovleniya mnogokom-ponentnykh stv avtomatizatsii protsessa marki-rovki informat- pishchevykh mass [Fundamentals of stabilization of sii v proizvodstvennom dokumentooborote [Research the processes of preparation of multicomponent food of methods and means of automation of the process masses]. Moscow: Frantera. of marking information in the production workflow] [Candidate Dissertation, Orlovskii gosudarstven- Blagoveshchenskaya, M. M., & Zlobin, L. A. (2005). nyi universitet imeni I. S. Turgeneva]. Orel, Russia. Informatsionnye tekhnologii sistem upravleni- ya tekhnologicheskimi protsessami [Information Astaf’ev, A. V. (2015). Metody i algoritmy lokalizat- technologies of process control systems]. Moscow: sii izobrazhenii markirovki pro-myshlennykh izdelii Vysshaya shkola. na osnove rekurrentnogo poiska usrednenno- go maksimuma [Methods and algorithms for local- Blagoveshchenskii, I. G. (2017). Avtomatizirovannaya ization of industrial product labeling images based ekspertnaya sistema kontrolya v po-toke pokaza- on recurrent average maximum search] [Candidate telei kachestva pomadnykh konfet s ispol’zovaniem Dissertation, Novosibirskii gosudarstvennyi tekh- neirosetevykh tekhnologii i sistem komp’yuternogo nicheskii universitet]. Novosibirsk, Russia. zreniya [Automated expert control system in the flow of indicators of the quality of fondant candies us- Balykhin, M. G., Blagoveshchenskaya, M. M., ing neural network technologies and computer vision Blagoveshchenskii, I. G., Makarovskaya, Z. V., & systems]. Moscow: Frantera. Na-zoikin, E. A. (2019). Avtomatizatsiya vakuum- noi sublimatsionnoi sushki pro-duktsii s ispol’zo- Blagoveshchenskii, I. G., & Nosenko, S. M. (2015). vaniem metoda kombinirovannogo upravleniya Ekspertnaya intellektual’naya sistema monitor- [Automation of vacuum freeze drying of products inga protsessa formovaniya pomadnykh konfet s using the combined control method]. Izvestiya ispol’zovaniem sistemy tekhnicheskogo zreniya vysshikh uchebnykh zavedenii. Tekhnologiya tek- [Expert intelligent system for monitoring the pro- stil’noi promyshlennosti [News of Higher Educational cess of forming fondant candies using a vision sys- Institutions. Textile Industry Technology], 2, 133- tem]. Pishchevaya promyshlennost’ [Food Industry], 137. 6, 32-36. Balykhin, M. G., Borzov, A. B., & Blagoveshchens- Blagoveshchenskii, I. G., Makarovskaya, Z. V., kii, I. G. (2017). Arkhitektura i osnovnaya kont- Blagoveshchenskaya, M. M., Chuvakhin, S. V., & septsiya sozdaniya intellektual’noi ekspertnoi Mi-tin, V. V. (2019). Ispol’zovanie tsifrovoi vid- sistemy kontrolya kachestva pi-shchevoi produkt- eokamery v kachestve intellektual’nogo datchi- sii [Architecture and the basic concept of creat- ka sistemy avtomaticheskogo regulirovaniya pro- ing an intelligent expert food quality control sys- tsessa formovaniya granulirovannykh pishchevykh tem]. Pishchevaya promyshlennost’ [Food Industry], mass [The use of a digital video camera as an in- 11, 60-63. telligent sensor of the automatic control system for the molding process of granular food masses]. Balykhin, M. G., Borzov, A. B., & Blagoveshchen- In Intellektual’nye sistemy i tekhnologii v otraslyakh skii, I. G. (2017). Metodologicheskie osnovy sozdani- pishchevoi promyshlennosti: Sbornik materialov kon- ya ekspertnykh sistem kontrolya i prognozirovaniya ferentsii [Intelligent systems and technologies in the kachestva pishchevoi pro-duktsii s ispol’zovaniem in- food industry: A collection of conference materials] tellektual’nykh tekhnologii [Methodological founda- (pp. 71-75). Moscow: Moskovskii gosudarstvennyi tions for the creation of expert systems for monitor- universitet pishchevykh proizvodstv. ing and forecasting the quality of food products using intelligent technologies]. Moscow: Frantera. Blagoveshchenskii, V. G., & Nikitushkina, M. Yu. (2017). Avtomatizatsiya protsessa prigotovleniya ХИ ПС №4 – 2021 202

КОНТРОЛЬ КАЧЕСТВА И БЕЗОПАСНОСТИ ПРОДУКЦИИ АПК pomadnogo siropa [Automation of the process of fikatsii v raspoznavanii obrazov [Hybrid method making fondant syrup]. In Razvitie pishchevoi i per- of nonparametric fuzzy classification in pattern erabatyvayushchei promyshlennosti Rossii: Kadry i recognition]. Vestnik MGTU im. N. E. Baumana. nauka: Nauchnaya konferentsiya s mezhdunarodnym Priborostroenie [Bulletin of the Bauman Moscow uchastiem [Development of the food and processing State Technical University. Instrumentation], 3, 49- industry in Russia: Personnel and Science: Scientific 58. conference with international participation] (pp. Chernov, T. S. (2018). Matematicheskie modeli i algorit- 202-205). Moscow: Moskovskii gosudarstvennyi my otsenki kachestva izobrazhe-nii v sistemakh op- universitet pishchevykh proizvodstv. ticheskogo raspoznavaniya [Mathematical models Blagoveshchenskii, V. G., Blagoveshchenskii, I. G., and algorithms for image quality assessment in op- Nazoikin, E. A., & Nosenko, A. S. (2016). Avto- tical recognition systems] [Candidate Dissertation, matizatsiya protsessa ochistki semyan podsol- Moskovskii inzhenerno-fizicheskii institut]. nechnika pri proizvodstve khalvy [Automation of Moscow, Russia. the sunflower seed cleaning process in the pro- Garev, K. V., Blagoveshchenskii, I. G., Nazoikin, E. duction of halva]. In Avtomatizatsiya i upravlenie A., Blagoveshchenskii, V. G., & Makarov-skaya, tekhnologicheskimi i biznes-protsessami v pishchev- Z. V. (2019). Ispol’zovanie tekhnicheskogo zreni- oi promyshlennosti: Sbornik nauchnykh dokladov II ya v kachestve innovatsionnogo resheniya v siste- Mezhdunarodnoi nauchno-prakticheskoi konferentsii makh “umnogo doma” [Using technical vision as [Automation and management of technological and an innovative solution in smart “home systems”]. business processes in the food industry: Collection of In Intellektual’nye sistemy i tekhnologii v otraslyakh scientific reports of the 2nd International Scientific pishchevoi promyshlennosti: Sbornik materialov kon- and Practical Conference] (pp. 58-62). Moscow: ferentsii [Intelligent systems and technologies in the Moskovskii gosudarstvennyi universi-tet pish- food industry: A collection of conference materials] chevykh proizvodstv. (pp. 47-52). Moscow: Moskovskii gosudarstvennyi Blagoveshchenskii, V. G., Blagoveshchenskii, I. G., universitet pishchevykh proizvodstv. Nazoikin, E. A., & Savel’ev, V. O. (2016). Razra- Goncharov, K. A., Blagoveshchenskii I.G., Nazoikin botka strukturno-parametricheskoi modeli pro- E.A., Blagoveshchenskii V.G., Makarovskaya tsessa prigotovleniya pomadno-go siropa pri Z.V. (2019.). Ispol’zovanie biblioteki OPENCV proizvodstve khalvy [Development of a struc- dlya raboty s tekhnicheskim zreniem [Using the tural-parametric model of the process of mak- OPENCV library to work with technical vision]. In ing fondant syrup in the production of halva]. In Intellektual’nye sistemy i tekhnologii v otraslyakh Avtomatizatsiya i upravlenie tekhnologiche-skimi pishchevoi promyshlennosti: Sbornik materialov kon- i biznes-protsessami v pishchevoi promyshlennos- ferentsii [Intelligent systems and technologies in the ti: Sbornik nauchnykh dokla-dov II Mezhdunarodnoi food industry: A collection of conference materials] nauchno-prakticheskoi konferentsii [Automation and (pp. 53-60). Moscow: Moskovskii gosudarstvennyi management of technological and business process- universitet pishchevykh proizvodstv. es in the food industry: Collection of scientific reports Karelina, E. B., Blagoveshchenskaya, M. M., of the 2nd International Scientific and Practical Blagoveshchenskii, V. G., Klekho, D. Yu., & Conference] (pp. 86-91). Moscow: Moskov-skii go- Blagove-shchenskii, I. G. (2019). Integratsiya adap- sudarstvennyi universitet pishchevykh proizvod- tivnogo upravleniya v tekhnologicheskie protsessy stv. pishche-voi otrasli [Integration of adaptive man- Blagoveshchenskii, V. G., Krylova, L. A., & Maksimov agement into technological processes of the food A. S. (2017). Razrabotka programmno-apparatno- industry]. In Intellektual’nye sistemy i tekhnologii v go kompleksa monitoringa proizvodstva khalvy otraslyakh pishchevoi promyshlennosti: Sbornik ma- [Development of a hardware and software com- terialov konferentsii [Intelligent systems and technol- plex for monitoring halva production]. In Razvitie ogies in the food industry: A collection of conference pishchevoi i pererabatyvayushchei promyshlennos- materials] (pp. 81-89). Moscow: Moskovskii gosu- ti Rossii: Kadry i nauka: Nauchnaya konferen-tsiya darstvennyi universitet pishchevykh proizvodstv. s mezhdunarodnym uchastiem [Development of the Karyakin, Yu. D. (2000). Komp’yuternye tekhnologii food and processing industry in Russia: Personnel zashchity material’nykh ob”ektov ot poddelki. and Science: Scientific conference with international Komp’yuternaya i informatsionnaya bezopasnost’ participation] (pp. 196-199). Moscow: Moskovskii [Computer technologies for the protection of material gosudarstvennyi universitet pishchevykh proiz- objects from forgery. Computer and information se- vodstv. curity]. Minsk: ARIL. Chernen’kii, V. M., & Ptitsyn, N. V. (2005). Gibridnoi Khamed, E. M. T., Blagoveshchenskii, I. G., metod neparametricheskoi nechet-koi klassi- Blagoveshchenskii, V. G., & Zubov, D. V. (2020). ХИ ПС №4 – 2021 203

КОНТРОЛЬ КАЧЕСТВА И БЕЗОПАСНОСТИ ПРОДУКЦИИ АПК Kontrol’ kachestva markirovki pishchevykh pro- digital stereo images using depth map algorithms]. duktov s ispol’zovaniem intellektu-al’nykh tekh- In Intellektual’nye sistemy i tekhnologii v otraslyakh nologii [Quality control of food labeling us- pishchevoi promyshlennosti: Sbornik materialov kon- ing intelligent technologies]. Health, Food & ferentsii [Intelligent systems and technologies in the Biotechnology, 2(1), 112-127. https://doi. food industry: A collection of conference materials] org/10.36107/hfb.2020.i1.s295 (pp. 133-138). Moscow: Moskovskii gosudarstven- Krylova, L. A., Blagoveshchenskii, V. G., & Tatarinov, nyi universitet pishchevykh proizvodstv. A. V. (2017). Razrabotka intellektu-al’nykh ap- Podnebesnykh, V. A., & Mamonova, N. V. (2020). Kefir paratno-programmnykh kompleksov monito- - eliksir zdorov’ya [Kefir is an elixir of health]. ringa protsessov separirova-niya dispersnykh Yunyi uchenyi [Young Scientist], 1, 25-29. pishchevykh mass na osnove intellektual’nykh Provotorov, A. V. (2014). Algoritmy dvukhurovnevogo tekhnologii [Development of intelligent hardware upravleniya videodatchikami siste-my avtomatich- and software systems for monitoring the process- eskoi identifikatsii markirovki slyabov [Algorithms of es of separation of dispersed food masses based on two-level control of video sensors of the system of au- intelligent technologies]. In Razvi-tie pishchevoi i tomatic identification of slabs marking] [Candidate pererabatyvayushchei promyshlennosti Rossii: Kadry Dissertation, Orlovskii gosudarstvennyi universi- i nauka: Na-uchnaya konferentsiya s mezhdunarod- tet]. Orel, Russia. nym uchastiem [Development of the food and pro- Ptitsyn, N. V. (2006). Algoritmicheskii metod zashchi- cessing industry in Russia: Personnel and Science: ty i identifikatsii markirovannykh pechatnykh doku- Scientific conference with international participa- mentov [Algorithmic method of protection and iden- tion] (pp. 199-201). Moscow: Moskovskii go-su- tification of marked printed documents] [Candidate darstvennyi universitet pishchevykh proizvodstv. Dissertation, Moskovskii inzhenerno-fizicheskii Martirosova, E. (1998). Unikal’nye tekhnologii i ob- institut]. Moscow, Russia. orudovanie dlya zashchity dokumentov ot pod- Ryabov, A. I., & Shterenzon, V. A. (2021). delok [Unique technologies and equipment to Avtomatizirovannaya sistema ucheta gotovoi protect documents from forgery]. Poligrafiya mar-kirovannoi produktsii [Automated accounting [Polygraphy], 5, 64-66. system for finished labeled products]. Innovatsii. Odinokov, S. B. (2011). Razrabotka metodov i op- Nauka. Obrazovanie [Innovation. The science. tiko-elektronnykh priborov avtomaticheskogo kon- Education], 38, 605-617. trolya podlinnosti zashchitnykh gologramm so Savostin, S. D., Blagoveshchenskaya, M. M., & skrytymi izobrazheniyami [Development of methods Blagoveshchenskii, I. G. (2016). Avtomatizatsiya and optoelectronic devices for automatic verification kontrolya pokazatelei kachestva muki v protsesse of the authenticity of protective holograms with hid- razmola s ispol’zovaniem intel-lektual’nykh tekh- den images] [Doctoral Dissertation, Moskovskii go- nologii [Automation of flour quality control in the sudarstvennyi tekhnicheskii universitet im. N. E. grinding process using intelligent technologies]. Baumana]. Moscow, Russia. Moscow: Frantera. Petrov, A. Yu., Blagoveshchenskaya, M. M., Sergeev, I. V. (2020). Vozrastanie roli tsifrovoi Blagoveshchenskii, V. G., Ionov, A. V., & Blagove- markirovki dlya obespecheniya prosle-zhivaemo- shchenskii, I. G. (2019). Glavnye printsipy pri pos- sti tsepei postavok [The increasing role of digital troenii sistemy komp’yuternogo zreniya v khlebo- labeling to ensure traceability of supply chains]. pekarnoi promyshlennosti [The main principles in Logistika [Logistics], 4, 24-30. the construction of a computer vision system in Tikhonova, O. Yu., & Kotova, T. V.(2020). Markirovka the bakery industry]. In Intellektual’nye sistemy i pishchevoi produktsii, kak faktor obosnovanno- tekhnologii v otraslyakh pishchevoi promyshlennosti: go vybora [Labeling of food products as a fac- Sbornik materialov konferentsii [Intelligent systems tor of informed choice]. In Aktual’nye proble- and technologies in the food industry: A collection my nauki i tekhniki: Sbornik trudov po materialam of conference materials] (pp. 121-126). Moscow: II Mezhdunarodnogo konkursa nauchno-issledova- Moskovskii gosudarstvennyi universitet pish- tel’skikh rabot [Actual problems of science and tech- chevykh proizvodstv. nology: A collection of works based on the materials Petryakov, A. N., Blagoveshchenskaya, M. M., of the 2nd International Competition of scientific re- Blagoveshchenskii, V. G., Mitin, V. V., & Blagove- search works] (pp. 20-29). Ufa: Ufimskii gosudarst- shchenskii, I. G. (2019). Povyshenie kachestva vennyi neftyanoi tekhnicheskii universitet. identifikatsii i pozitsionirovaniya ob”ekta na tsi- Zhmakin, M. O. (2011). Matematicheskoe modeliro- frovykh stereo izobrazheniyakh pri pomoshchi al- vanie sredstv markirovki i identifi-katsii poligra- goritmov postroeniya karty glubiny [Improving the ficheskoi produktsii s ispol’zovaniem steganografii quality of object identification and positioning on [Mathematical modeling of means of marking and ХИ ПС №4 – 2021 204

КОНТРОЛЬ КАЧЕСТВА И БЕЗОПАСНОСТИ ПРОДУКЦИИ АПК identification of printed products using steganogra- Bien, Z., Oh, S.-R., & Won, J. (2009). Development phy] [Candidate Dissertation, Moskovskii inzhen- of a well structured industrial vision system. In erno-fizicheskii institut]. Moscow, Russia. Proceedings of 16th annual Institute of Electrical Zolotukhin, M. (1998). Zashchita ot poddelki - staraya and Electronics Engineers conference of the indus- problema, novye resheniya [Protection against trial electronics society (pp. 501-506). London, UK. counterfeiting - an old problem, new solutions]. https://doi.org/10.1109/IECON.1990.149191 Komp’yu-terPress [ComputerPress], 6, 294-296. Anagnostopoulos, С. N., Loumos, V., & Kayafas, E. Chen, I.-H., & Wang, S. J. (2006). Efficient vi- A. (2009). License plate recognition algorithm sion-based calibration for visual surveillance sys- for Intelligent Transport applications. Institute tems with multiple PTZ cameras. In Institute of Electrical and Electronics Engineers Transaction of Electrical and Electronics Engineers Intel con- on Intelligent Transport Systems, 7(3), 377-392. ference on computer vision systems. https://doi. https://doi.org/10.1109/TITS.2006.880641 org/10.1109/ICVS.2006.22 Aluze, D., Merienne, F., Dumont, C., & Gorria, P. (2002). Vision system for defect imaging, de- Nikolskaya, E. Yu., Pasko, O. V., Anikina, E. N., tection, and characterization on a specu- Dekhtyar, G. M., & Lebedev, K. A. (2019). The ho- lar surface of a 3D object. Image Vision Comput, tel sector as an important component of regional 20(8), 569-580. https://doi.org/10.1016/S0262- economic infrastructure. Journal of Environmental 8856(02)00046-X Management and Tourism, 9(6), 1178-1182. https:// Angella, F., Reithler, L., & Gallesio, F. (2007). Optimal doi.org/10.14505//jemt.v9.6(30).06 Deployment of Cameras for Video Surveillance Systems / F. Angella, L. Reithler, F. Gallesio. In Pasco, O., Suvorova, I. N., Suvorov, O. A., & Krylova, Institute of Electrical and Electronics Engineers: L. A. (2018). Key options of ecological hospitality Conference on Advanced Video and Signal Based development. In 5th International Multidisciplinary Surveillance (Article 9824583). London,UK. Scientific Conference on Social Sciences and Arts SGEM 2018 (pp. 473-478). Moscow: Moscow State University of Food Production. https://doi. org/10.5593/sgemsocial2018/1.4/S04.061 ХИ ПС №4 – 2021 205