Valery V. Mamrega,
“Darbaza-Avtomatik” LLC, Bishkek, Kyrgyzstan

DOI: 10.36724/2664-066X-2022-8-4-18-21

SYNCHROINFO JOURNAL. Volume 8, Number 4 (2022). P. 18-21.


This article explores the subject of computer vision systems – a technology that allows vehicles to identify, track, and also classify objects on the roadway. The objectives of the study are to consider the principle of operation of these automated systems, their advantages in comparison with modern road regulation, as well as the problems of implementation and development of these systems. The research was carried out on the basis of the analysis of information from open information resources. The statistics of accidents at work are presented, the high rates of which are due to large volumes of production and an outdated system for monitoring compliance with safety rules and the availability of personal protective equipment for employees. The scheme of interaction of the components of a computer vision system is considered, which will allow monitoring of events occurring in production during operation, monitoring the situation at the enterprise for the occurrence of a potentially dangerous situation for personnel and equipment, and, accordingly, this system will be able to prevent an emergency, as well as avoid personal injury by reacting even to minor deviations from operating parameters. The research was carried out on the basis of the study and analysis of materials published in open information sources.

Keywords: machine vision, traffic control system, computer vision, transport, neural networks, production, computer vision, safety compliance, monitoring, production process, safety.


[1] Automated traffic control system (ASUDD). URL:

[2] Barriers and barriers. URL:

[3] Barrier with a security post. URL:

[4] Automatic traffic control system (ASKRDD). URL:

[5] Optimization of the work of adaptive traffic lights based on the use of machine vision. URL:

[6] Vizilter Yu.V., Zheltov S.Yu. Technical vision in mobile object control systems. Proceedings of the scientific and technical conference-seminar. 2010, pp. 11-44.

[7] Optimization of the work of adaptive traffic lights based on the use of machine vision. URL:

[8] Machine vision: demand and prospects. URL:

[9] Machine vision. URL:

[10] Machine vision for traffic analytics. URL:

[11] Machine vision. What is it and how to use it? Processing of images of an optical source. URL:

[12] Mastering computer vision – 8 basic steps. URL:

[13] Computer vision. URL:

[14] Video monitoring of industrial safety using computer vision. URL:

[15] Researchers recorded the brain activity of rats and used it to improve machine vision. URL: 20%D0%B7%D1%80%D0%B5%D0%BD%D0%B8%D0%B5&target_type=posts&order=relevance.

[16] Computer vision. URL:

[17] How traffic was regulated: from Caesar to the present day. URL:

[18] What role do computer vision systems play in the fourth industrial revolution? URL:

[19] Computer vision. Tasks, scopes, prospects. URL:

[20] Just about the complex. How does computer vision work. URL:

[21] How to choose an automatic barrier: what to look for, the best models and reviews. URL:

[23] Automarshal. URL:|30020285|search&utm_content=gid|2929484070|aid|4772959164|11695495130_&utm_term=%D0%B0%D0%B2%D1%82%D0%BE%D0%BC%D0%B0%D1%82%20%D1%88%D0%BB%D0%B0%D0%B3%D0%B1%D0%B0%D1%83%D0%BC%D1%8B&yclid=5200370865234540402.