DroneOptID is an AI-powered optical detection, identification, and tracking software designed to detect and track drones in real time using advanced computer vision and AI algorithms.

DroneOptID combines AI vision intelligence with sensor fusion from radar, RF detectors, and cameras. It uses computer vision technology to classify, localize, and track drone targets with high accuracy even in challenging conditions.

The software is camera-agnostic and supports a wide range of cameras, including Bosch MIC 7000 and 9000 models. It is integrated with DroneShield’s DroneSentry-C2

• Improved AI drone tracking and identification accuracy

• Enhanced visual tracking with payload and modification recognition

• Proprietary flight prediction algorithms for continuous tracking

• Seamless integration with DroneShield and third-party CUAS devices

• Deployable hardware solutions suitable for rugged operational environments

Nvidia Jetson platforms commonly support edge AI computing for computer vision applications like DroneOptID, providing the necessary processing power to run AI models in real time on site.

TRL 9 indicates that DroneOptID has achieved full system maturity and has been proven in operational environments, ensuring reliability for real-world CUAS technology applications.