“
Bogdan Miroshnichenko Chief editor of “Declines”. Defense Industry Viewer.
“Military flying on photographs like” Marra “,” Valkyria “, Cetus. They take photos of a battlefield to a depth of 20 km. When the aircraft sits, it brings with it 1500-2000 pictures of high quality. To handle them manually takes up to 6 hours.
The idea of Clarity is to give an analytics a primary analysis of images. The analyst sees where to look first, and it helps him to form a report faster. And already according to this report, the command can make a much faster decision on the defeat of the found object.
Clarity
Screenshot from the program
The neural network distinguishes between military and civilian equipment, masked objects, and also notices traces that may indicate and stay in the hostile position. If 10 objects are noticed in one photo, and most others have zero, then the program itself suggests where to look.
“We have our own date of 100,000 pictures, where we taught the neural network to recognize the objects by the photo. We collected it on the basis of open sources, in particular on YouTube. And then we listened to the military who suggested what to improve.
The product is positioned as an auxiliary solution. That is, the final report is still forming a person to avoid mistakes or passes. But this tool saves valuable hours to make decisions.
Clarity
Screenshot from the program
Clarity is already used in the power of unmanned systems, the Armed Forces, the National Guard and the Border Service. In the future, the developers plan to adapt the product to civilian tasks. For example, search missions, border monitoring, tracking illegal forest deforestation.
Earlier, the Defender wrote that on Brave1 Defense Tech Valley 2025, Logic7 has developed a virtual simulator for the FPV-threads from the shotgun.
”, – WRITE: mezha.media
Bogdan Miroshnichenko Chief editor of “Declines”. Defense Industry Viewer.
“Military flying on photographs like” Marra “,” Valkyria “, Cetus. They take photos of a battlefield to a depth of 20 km. When the aircraft sits, it brings with it 1500-2000 pictures of high quality. To handle them manually takes up to 6 hours.
The idea of Clarity is to give an analytics a primary analysis of images. The analyst sees where to look first, and it helps him to form a report faster. And already according to this report, the command can make a much faster decision on the defeat of the found object.
Clarity
Screenshot from the program
The neural network distinguishes between military and civilian equipment, masked objects, and also notices traces that may indicate and stay in the hostile position. If 10 objects are noticed in one photo, and most others have zero, then the program itself suggests where to look.
“We have our own date of 100,000 pictures, where we taught the neural network to recognize the objects by the photo. We collected it on the basis of open sources, in particular on YouTube. And then we listened to the military who suggested what to improve.
The product is positioned as an auxiliary solution. That is, the final report is still forming a person to avoid mistakes or passes. But this tool saves valuable hours to make decisions.
Clarity
Screenshot from the program
Clarity is already used in the power of unmanned systems, the Armed Forces, the National Guard and the Border Service. In the future, the developers plan to adapt the product to civilian tasks. For example, search missions, border monitoring, tracking illegal forest deforestation.
Earlier, the Defender wrote that on Brave1 Defense Tech Valley 2025, Logic7 has developed a virtual simulator for the FPV-threads from the shotgun.