Furious 320 is the successor to a successful and extremely popular model Runner 250 Advance. With a simple design, Walker transformed its model in eye-catching drones, which brings to mind spacecraft sci-fi. Faster, more agile and more precisely - these assumptions guided the company Walker during model creation Furious.
Leading the changes that have taken place in the model they are visible at first glance - built construction, protects located inside electronic components, slender shape and the arms on the basis of the carbon tubes. What is new is swinging engine in flight - angle is adjusted depending on the speed and manner of flying, so the position of the drone does not change, without obstructing view or video recording .. The manufacturer declares a maximum speed in excess of over 100km / h!
During the race on ekraniu appear virtual obstacles that must be skillfully avoided. Collection mode is to collect as many gold coins, also by precise control. Teaching mode is an option for those who do not feel too confident in the air - appears on the screen virtual drones, controlled by the apparatus. At the end of the battle, or the destruction of virtual targets with the help of plots on the screen.
NOTE: Models Walker Furious 320 version RTF1 and RTF2 only differ by only a camera included in the kit. In the version used RTF1 camera 800TVL, which has no slot for a memory card, which is not possible to record images and video, but it is characterized by the absence of any delay during video transmission to the transmitter, monitor FPV 5.8GHz or goggles. RTF2 version is equipped with a camera with a resolution of 1080p and has a slot for micro SD memory card (not supplied with the kit). This camera has the ability to save images and video on a memory card, but it has a delicate time lag.
The model is powered by a battery LiPo 4S 14.8V 25C, which lasts for about 10 minutes of flight. This model is ready to fly right out of the box (RTR) - face the modern solutions and stunning speed, which will not find in competing models.
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