USD
41.82 UAH ▲0.24%
EUR
48.98 UAH ▼0.41%
GBP
56.78 UAH ▼0.37%
PLN
11.53 UAH ▼0.39%
CZK
1.99 UAH ▼0.36%
To spread: an unusual incident occurred in the village of Sokilnyk near Lviv. Du...

In Lviv, the flood brought Russian drone to the supermarket

To spread: an unusual incident occurred in the village of Sokilnyk near Lviv. During heavy rainfall and floods, the water brought an object similar to a drone. The photo was shared by a resident of the village of Sokilnyk in Lviv region. The picture shows that the drone lies on the sidewalk among the garbage. The SBU press service in the Lviv region reported that the drone "Herbera" is empty and has no "signs of internal filling", Zaxid. net writes.

SBU spokeswoman in the Lviv region Roksolana Yavorskaya said that the Dron "Herbera" has no combat part. He was bought for Donat and stored in the restaurant "Prince's yard" near the ATB store, where they noticed the drone. "The restaurant once bought this drone at the auction for Donat. It was put in the restaurant as a scenery. During the flood the drone washed away from them," - said Roksolana Yavorskaya. The Drone "Herbera" is a Russian -made imitation UAV.

It is used to distract the Ukrainian air defense, identify its positions and depletion of ammunition reserves of the Armed Forces. This drone is a simplified and cheaper version of Iranian Dron-Kamikadze Shahd-136, known in Russia under the name "Geran-2". The Herbera Corps is made of foam and plywood. This provides the drone of low weight, which increases its maneuverability and flight range. The use of such materials also makes Herbere less noticeable to radars.

Herbera is equipped with a 4G modem for real-time video transmission that allows you to use Ukrainian mobile networks for communication. This provides high -speed long distances, which is especially important for intelligence. The drone range can reach up to 300 km without combat load. We will remind, in Lviv forecasters on July 10 recorded a record amount of precipitation in the last 59 years. 115% of the monthly norm fell per day.