A joint development by the Moscow Technical University of Communications and Informatics (MTUCI) and JSC "NPK "Dedal" opens up new opportunities in the organization of video surveillance systems. Scientists have presented a methodology that allows for the most effective placement of cameras, eliminating "blind spots" and reducing operating costs.
The development is based on an improved Johnson criterion, supplemented by a number of important parameters. Unlike traditional approaches, the new model takes into account not only the resolution of the cameras, but also the characteristics of the lenses, viewing angles, and even the influence of weather conditions. This makes it possible to calculate the optimal distance between cameras, at which the probability of detecting an intruder is at least 80%, and the probability of recognizing him reaches 95%.
Professor of MTUCI Stanislav Zvezhinsky notes:
The dimensions of potential intruders (a person or a vehicle) have a direct impact on the number of pixels of the camera matrix that the target image will occupy. The further the target is, the fewer pixels correspond to it, and the more difficult it is to recognize. The integration of television and thermal imaging cameras creates a "double vision" system that allows you to effectively identify objects regardless of lighting conditions. For example, thermal imagers are more effective at detecting targets at night or in foggy conditions, but they are worse at recognizing details. Television cameras provide a clearer image during the day, but their effectiveness decreases in low light conditions.
Particular attention in the model is paid to the concept of the "effective pixel" — a parameter that determines how clearly the camera will be able to capture an object of a given size (for example, a person or a car) at a certain distance. In addition to this, the created model provides for the independent operation of nearby technical observation points (TOPs). This makes it possible to more finely tune the video surveillance system and ensure high image quality even in "blind spots", for example, in the middle of the distance between them.
The technology will find application in various fields where reliable perimeter protection is required. These include the energy complex, including power lines and power plants, transport infrastructure with airports, subways and railways, as well as industrial facilities such as oil and gas pipelines, port terminals.
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