DroneShield has shared a case study video released by the NSW Defence Innovation Network (DIN), on DroneShield’s DroneOptID technology, an AI-based optical/thermal detection system that detects and classifies UAS and their payloads in real-time. The software utilises recent developments in computer vision, image processing and deep learning, combined with the proprietary-developed AI under this collaboration, to improve C-UAS technology. Applications include military, law enforcement, airports, critical infrastructure and others.
The team has recently won two categories at the 2021 NSW iAwards for this partnership, showcasing how defence industry-university partnerships can deliver research translation into real customer deployments, in short timeframes. The DroneOptID product has already been successfully trialled and deployed with end customers globally.
DroneOptID software offers the latest in Computer Vision technology to detect, identify and track drone targets in real time. The Artificial Intelligence (AI) model has been developed specifically for drone detection and works seamlessly with DroneShield’s range of best in class drone detection and countermeasure devices. The software is able to take geographical and environmental data from other sensors in order to slew and validate a drone threat. Once the drone is in the field of view of the camera, using proprietary DroneShield algorithms, the DroneOptID software uses motion tracking and machine learning techniques to identify and track the target. DroneOptID software enables more accurate tracking for manual or autonomous identification of drone threats. The software assists operators to manually determine other characteristics about the drone including payload, modifications and effectiveness of active countermeasures to ensure the response matches the threat.
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