ArticleJournal of imaging2026
Automation of Monitoring Compliance with Technological Regulations Using the Example of the Process of Filling Petroleum Products.
Article in Journal of imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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4 authors.
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Abstract
In this paper, an approach to automating the monitoring of compliance with regulated technological operations using computer vision methods is proposed and investigated, with the loading of petroleum products considered as a case study. A distinctive feature of this work is the integration of a formalized description of the production process in BPMN notation with an object detection system, enabling not only object recognition but also interpretation of the sequence of technological actions performed by personnel. Based on the collected and annotated dataset containing more than 6000 images, a YOLOv11 neural network model was trained to monitor key stages of a technological operation. The experimental results show that the trained model provides high accuracy in detecting objects during the daytime (
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