Ukrainian DevDroid Deploys AI-Driven Target Detection for UGV Platforms

The Ukrainian company DevDroid has integrated an AI-powered optical system for target detection and identification into its unmanned ground vehicles (UGVs).

This was stated by the company’s CEO, Yurii Poritskyi, in an interview with Militarnyi.

According to him, the system employs three cameras that assist the UGV operator in detecting targets on the battlefield.

The daytime camera is capable of detecting enemy personnel at distances of up to 1,000 meters.

There is also a wide-angle daytime camera, which allows operators to assess what is located in front of the unmanned ground vehicle (UGV), determine enemy movement, and identify areas where no enemy presence is detected.

The system also incorporates a thermal imaging camera, which enables detection of human targets at distances of up to 600–700 meters, depending on weather conditions.

To train the system’s artificial intelligence for battlefield target identification, including enemy soldiers, DevDroid used a large volume of real combat footage.

The system features separate detection modes for identifying human movement or military vehicles.

“There is a mode that detects any change in the visual scene – meaning that when any object moves, the UGV operator receives an alert. There is also a mode specifically designed to detect people,” said Yurii Poritskyi.

The company also plans to develop a new unmanned ground robotic system armed with a 30 mm cannon.

The new UGV will be designed to conduct assault operations and provide fire support for infantry on the front line.

DevDroid is also scaling up production of Maul evacuation drones to meet the needs of the Ukrainian Defense Forces.