Synthetic data for security and defense autonomous systems

Anyverse’s synthetic data platform generates the sensor-specific data needed to develop advanced perception systems for conflict, catastrophic, or safety emergency outdoor scenarios. Simulate any scene with pixel accuracy to test, train and validate any manned or unmanned, air or land vehicles, and robotic vehicles for security, emergency, and defense applications.

Accelerate new-generation security & defense autonomous system development

Operating in emergency or conflict areas is complicated. Difficult-to-access or rugged terrain, isolated or heavily damaged areas, unexpected situations, changing or very difficult weather conditions. The use of autonomous systems is very convenient to deal with these critical situations, but obtaining data to train these systems is incredibly complicated for obvious reasons, the real risk of taking data in situ.

Synthetic data allows new-generation-sensor and AI-based autonomous systems to be safely trained, recreate any uncommon situation (however implausible it may be), simulate any weather condition, and simulate any vehicle, ship, or robot. Anyverse makes it possible and improves the training and performance of autonomous systems for this use case while reducing development costs by allowing the simulation of any scene impossible to find in the real world.

Comprehensive synthetic data solution for each use case

Generate complex training scenarios impossible to recreate in the real world, add multiple criteria (any terrain, any region, any object…), reproduce any emergency vehicle (drone, truck, UAV, …), customize camera locations, and reach different angles (air or land) and simultaneous cameras, allowing your AI to:

Pixel-accuracy and ground truth simulation data to excel

Physics-based

Hyperspectral accuracy to simulate any terrain.

Faithfull sensor simulation

Simulate the specific sensors your system is using in the real world (cameras, LiDAR, and more).

Rich definition

In scenarios and 3D assets

Control of scene

variability to avoid bias in your system.

Cloud scalability

In data generation.

Rich ground-truth data

Perfect annotations, depth, segmentation, and more.

Built-in assets library

The platform counts with a comprehensive assets library to build thousands of different customizable defense & security-oriented scenes, including: people, outdoors assets (forest, rural, desert, and more), variety of obstacles, hostile and friendly objects, variety of building with different levels of damage, variety of vehicles (land and air), and more.

Contact us

and discover the agile, and cost-efficient way to develop your autonomous systems

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Client Story

Would you like to know how Cron AI has improved LiDAR simulation accuracy with physically correct synthetic data?

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