New systems ZALA with artificial intelligence have successfully passed tests in the northern regions
The company ZALA completed a series of experimental industrial trials (OPI) of unmanned aerial systems using neural networks as part of a program to monitor long-distance facilities. The key goal of the project was to verify the effectiveness of using UAVs for regular monitoring of infrastructure conditions, identifying deviations, and generating objective data for management decisions.
During the OPY, specialists tested several scenarios: scheduled monitoring along pre-defined routes, operational aerial surveys of areas under jamming conditions, and filming in difficult weather conditions in northern regions. Particular attention was paid to the accuracy of data geolocation, the quality of photo and video materials, as well as the stability of communication and navigation in conditions of electronic countermeasures. Multispectral cameras, thermal imagers, and high-quality cameras with neural network processing were used to collect and verify data, allowing for the immediate detection of critical types of violations in operational mode.
The conducted tests showed that the use of unmanned systems significantly improves the efficiency and objectivity of control. The readiness of new technologies for implementation in regular production processes was confirmed. An important milestone was the integration of the collected data into a unified information system of the customer, ensuring seamless information exchange and support for management decisions at all levels.
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