
Autopilot with artificial intelligence Groza-1
Equipped intellectual tracker, he uses advanced algorithms Own development Aegisky
USD · Оптовые цены
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Доставка 7-14 дней
DHL/FedEx/UPS/авиа/море
Оригинал гарантирован
Официальные поставщики
Полный пакет документов
ECCN, CO, CI, PL, EUS docs
Поддержка 24/7
До и после продажи
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9D003AI уверенность 100% · NLR — Лицензия не требуется. Рекомендуется заявление о конечном использовании.
Программа лояльности
Скидка по уровню суммируется с оптовыми ценами
Order an autopilot with artificial intelligence Groza-1 for your UAV model!
Autopilot Groza-1 is an artificial intelligence system for controlling quadcopters. It was created by Aegisky. The system is designed to accurately track objects and stabilize flight in various conditions. Now the quadcopter will independently understand and make decisions - it understands where it is flying, what its purpose is and what surrounds it.
The system is especially effective for military-tactical tasks. Now the drone can homing to the desired targets without the participation of a pilot. Targets can be trees, people, armored vehicles, cars, buildings with certain trigger signs.
Device Features
- "Groza-1" is equipped with intelligent tracking algorithms.
- They allow you to capture objects in motion or stationary.
- This is especially useful when performing complex tasks where traditional systems can fail.
Benefits
The system operates without a GPS signal. In such cases, the autopilot navigates using built-in sensors and image recognition technologies. This ensures high accuracy even in conditions of poor visibility or lack of satellite data.
Application
The Groza-1 autopilot is suitable for use in a wide range of tasks: from territory monitoring to cargo delivery. It helps improve the safety and efficiency of quadcopters by minimizing the influence of the human factor. The autopilot has machine learning - it independently recognizes the desired object - a person, a car, a building, etc.
Thus, “Groza-1” is a reliable assistant for professionals and amateurs working with unmanned aerial vehicles.







