Development a video analytics system for violations of industrial safety requirements at nuclear power plant construction area

Anastasia Isakova, Vadim Sharmaev

Abstract


A construction area is an object of an increased risk zone for everyone who is on it, therefore, the security measures imposed on this territory must be strictly observed. Often, the process of observing safety precautions is formal and consists in conducting periodic briefings and training of personnel, and the function of direct control, as a rule, is assigned to immediate superiors. Video analytics and image processing technologies help to minimize these costs and increase the level of security by early warning of possible violations in the work of people or machines. Video analytics is a constantly evolving field where new methods and algorithms are constantly being developed in areas such as semantic video categorization, video retrieval from a database, human action recognition, generalization and anomaly detection. The article is devoted to the development of requirements for the system and architecture of the building control information system as part of the conceptual model. The authors investigated the current state of the organization in terms of automation, analyzed the problem and possible solutions, developed requirements for system functions, described infrastructure requirements, and developed a solution prototype. The introduction of a video analytics system for violations of safety requirements will improve the efficiency of safety activities by reducing employee injuries in the course of work, as well as by improving labor discipline and safety culture.

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References


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ISSN: 2307-8162