Controp EO/IR to Counter Drones

With today’s drones sometimes being as small as the palm of one's hand, detection, classification and interception has become a significant challenge for defense and homeland security officials. Once the drone has been detected, the challenge is to classify the threat with pinpoint accuracy, facilitating efficient activation of countermeasures, whether jamming, interception or neutralization. New counter-drone capabilities have been implemented in a variety of Controp’s systems, such as the Speed er system, which provides extremely long-range operations, and the Sight system for mobile vehicular use, while new software provides the drone identification, classification and tracking. 

Suitable for installation on stationary locations or for mobile and deployed applications, Controp’s systems are tuned to the area in which a drone has been detected, and can track, automatically classify and identify even the smallest drones – at distances of up to several kilometers. Ideal for use in urban environments as well as airports and other strategic facilities, the multi-spectral systems incorporate day and thermal sensors, as well as Shortwave Infra-Red (SWIR) sensors.  

Controp is now offering its new software for drone classification, enabling automatic classification of drones in the video image. The advanced image-processing algorithms were specifically developed to meet challenging anti-drone scenarios, with an interface that is compatible and easy to integrate into command and control systems, and customizable to meet the customer's exact requirements. 

“The ever-growing threat of drones in asymmetric warfare is a defense and HLS challenge that requires a sophisticated response,” says Ra'anan Shelach, Controp's vice president of marketing. “We are proud to present our latest anti-drone solutions at the Singapore Airshow 2020. These integrated systems incorporate cutting-edge EO/IR and SWIR technologies with such advanced capabilities that they can even classify a single drone flying in a flock of birds.”