The study is dedicated to analyzing video analytics methods applied at hazardous production facilities that operate hoisting cranes, to ensure compliance with the required level of industrial safety and meet the requirements of occupational safety norms and rules by the personnel. The analysis of applied video surveillance systems has been conducted, which leads to a conclusion regarding their limited possibilities to obtain advanced data, as the functionality provides a more comprehensive observation of specific areas of a facility or the dynamics of movement of third-party mechanisms. This provides a hoisting crane operator with better orientation and decision-making when implementing labor activities. Specific attention must be paid to control systems allowing for remote tracking of territorial location and parameters of mechanisms of hoisting cranes. In addition, the data on developments by international manufacturers, including remote control systems of technical devices able to protect an operator from the impact of harmful and hazardous production factors, are provided, which is crucial in extreme conditions of some productions. As a result of the analysis, it becomes clear that control parameters available are insufficient, as there is a demand for remote identification of defects and malfunctions of hoisting crane structures located in inaccessible places and at height. Promising areas of the use of artificial intelligence have been determined when searching for and classifying defects of metal structures of hoisting facilities, as well as for the purposes of ensuring the safety of personnel of operating, maintenance, and expert companies, to prevent the impact of hazardous and harmful production factors when performing labor activities associated with overhead work.
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