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SCIENTIFIC CENTER of APPLIED ELECTODYNAMICS. System of air-land monitoring of north territories. Goals and objectives. Goal - improving the efficiency of monitoring of a terrain, preventing, reducing the risk to life and health of personnel during rescue operations Objectives :
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SCIENTIFIC CENTER of APPLIED ELECTODYNAMICS System of air-land monitoring of north territories
Goals and objectives • Goal - improving the efficiency of monitoring of a terrain, preventing, reducing the risk to life and health of personnel during rescue operations • Objectives: • air monitoring in real time in optical and IR regimes with estimating of object position • organization of high-quality aerial photography with high resolution • data delivery to the consumer as quickly as possible • retranslation of input data to consumer in real time. • Advantages of a middle class UAV: • Long period of mission (4 hours and more) • Range up to 600 km • Medium prices for UAV • High mobility, easy in use • Possibility to take additional removable payload • Possibility to retranslate data with USW stations
The performance characteristics ofcomplex of the middle class
UAV launch from catapult UAV weight 20 kg (team– 3 people)
UAV landing 1) glide path 2) Touchdown 2) …… 4) Landing finish
Use of UAV Small weight simplify using of UAV Working place of UAV operator.
Cartographic training area of operations Mosaic from 7 photos, received from UAV(influence of a side wind and it’s compensation by control system of UAV) Mosaic of 6 km length, received by photos of UAV
Order of work of UAV complex Air monitoring of area of falling of 1 stage of space rocket “Proton-M”using UAV complex
Sharingofmedium UAV systemsandmultifunctionalmobileroboticcrawlerchassiswilleffectivelysolvetheproblemofcomplexmonitoringintheFarNorthterritories.
Proposals to create a software-hardware complex orientation and positioning UAVs based on technology of "Machine vision"
The novelty of the proposed technologyof automatic orientation and positioning UAVs Complex method of design The division of system to workstations for the subtasks, based on modeling capabilities for training and development of the methods of computer vision Inclusion of mathematic models and methods of training Joint mathematic and physical methods of modeling Combination of positive features of existing solution, suggested by different manufactures Nature experiments as criteria to investigate and development of system
Typical problems solved by vision system • Detection (position and orientation of the object); • Measuring of physical parameters; • Inspection (presence or absence of the desired trait ); • Identification (object recognition, binding to the specified types)
Accomplishments of photogrammetry • High accuracy; • The high degree of automation of the measurement process and the related objective of their results; • High performance; • The possibility of remote sensing at a time when staying at the facility is unsafe for human.
Specifications perspectiveof SAR PROBE-B UAV of helicopter type