Abstract
The article presents algorithms for solving the problem of computer vision to control the implementation of rules and requirements for the performance of work on a construction site. A general approach to algorithm development is described, including the structure and method used to collect construction site image data, the structure of the training image data set, the method of enlarging the image data set and the basic artificial intelligence model used for training. The developed and tested object recognition models will be applied to real construction sites, which will reduce the number of accidents involving construction workers, and use resources efficiently.
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