ANYVERSE

Develop accurate AI for inspection and defect detection with synthetic data

Generate synthetic data according to your inspection deep learning model requirements with perfect annotations and automatic defect labeling while saving time and resources.

Build more accurate deep learning-based visual inspection systems

Developing visual inspection solutions capable of finding complex defects that are often missed by human inspectors is easier with the right data. Anyverse platform offers you the technology to make your deep learning-based visual inspection systems capable of detecting defects more accurately.

Generate different types of defects depending on your industry and targets (scratch, crack, dirt, dent, leak, and more) for defect classification, or shape check for example.

Generate the right data for each inspection case

Recreate any scenario to improve your system’s automatic defect detection capacity:

Advantages of developing your visual inspection system with Anyverse

Generate 3D pixel-accurate data with ground truth and reduce deployment times thanks to:

Anyverse™

The platform to control the entire data generation process

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).

Modular platform

Flexibility to build your data generation ecosystem.

Control of variability

Variability to avoid bias in your system.

Cloud scalability

In data generation.

Rich ground-truth data

Perfect annotations, depth, segmentation, and more.

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and discover the agile, and cost-efficient way to develop your inspection and defect detection systems

Looking to start your Synthetic Data journey or need help with your current project? We'd love to know more.

Looking for the right Synthetic Data to speed up your system? Please, enter the Anyverse now

Client Story

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

Let's talk about synthetic data!

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