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Our proposal checks the discrepancy between the received pairs of images, which allows you to detect delays in transferring images between the left camera and the right camera. For this purpose, a deep network is used to classify the analyzed pairs of images into five classes: MuchFaster, Faster, Regular, Slower, and MuchSlower. As can be seen as a result of the conducted work, satisfactory research results were obtained as the correct classification. A high percentage of average probability in individual classes also indicates a high degree of certainty as to the correctness of the results. An author\u2019s base of colorful stereo images in the number of 3070 pairs is used for the research.<\/jats:p>","DOI":"10.3390\/sym13010078","type":"journal-article","created":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T11:51:39Z","timestamp":1609847499000},"page":"78","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Detection of False Synchronization of Stereo Image Transmission Using a Convolutional Neural Network"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5012-6563","authenticated-orcid":false,"given":"Joanna","family":"Kulawik","sequence":"first","affiliation":[{"name":"Faculty of Mechanical Engineering and Computer Science, Department of Computer Science, Czestochowa University of Technology, Dabrowskiego 73, 42-201 Czestochowa, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9651-9525","authenticated-orcid":false,"given":"Mariusz","family":"Kubanek","sequence":"additional","affiliation":[{"name":"Faculty of Mechanical Engineering and Computer Science, Department of Computer Science, Czestochowa University of Technology, Dabrowskiego 73, 42-201 Czestochowa, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"86319","DOI":"10.1109\/ACCESS.2019.2924938","article-title":"Bringing adaptive and immersive interfaces to real-world multi-robot scenarios: Application to surveillance and intervention in infrastructures","volume":"7","author":"Barrientos","year":"2019","journal-title":"IEEE Access"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.2991\/ijcis.d.190930.001","article-title":"Adaptive Fuzzy Mediation for Multimodal Control of Mobile Robots in Navigation-Based Tasks","volume":"12","year":"2019","journal-title":"Int. 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