ANYVERSE

Endless Applications

The right synthetic data makes all the difference in advanced perception and machine learning. It can fill in data gaps or complement real-world footage in a variety of industries. At Anyverse™  we can simulate any scenario and cover a whole range of corner cases with accuracy that consequently boosts your AI.

AUTOMOTIVE

Anyverse™ supports a wide range of applications for autonomous vehicles and drive-assist development. Firstly, we can model any scenario using a geographically stylized urban, suburban, rural and highway environments. Secondly, we can randomly add high-quality vehicles and pedestrians to follow specific behaviors.

Classification

and detection of vehicles and pedestrians

Corner cases (i.e. pedestrians at night) 

Classification and detection of traffic lights

Detection of empty spaces in parking lots

SMART Cities

The power of deep learning AI to automatically detect different types of events in traffic and people’s behavior through smart cameras. The amount of data to train the deep learning model can bee overwhelming and cities face privacy regulations and to use real-world data. Moreover, real-world data may lack enough variability to avoid bias in the systems and most probably won’t include corner cases to avoid false negatives.

Urban/suburban

surveillance

Traffic control

Incidents/events detection

People flow/access control

Aerial

Unmanned Aerial Vehicles (UAV) are widely used across different industries. Anyverse™ supports drones as a kind of an ego-vehicle, with an arbitrary number of cameras in defined 3D fly-thru scenarios. Moreover, we can add ground truth data for objects of interest or defective parts to the custom scenes.

Package delivery in urban/suburban areas

Infrastructure

inspection

Accidents in streets or highways

Airport-related security operations

indoors

Synthetic data may prove useful for training smart cameras inside vehicles or other indoor scenarios. Anyverse™ can, for example, add a rich database of 3D people to these scenarios. Variability then applies to lighting, objects, textures, poses and behaviors.

Warning distracted or drowsy drivers

Detecting serious issues such as a child removing their seat belt

Detecting certain behaviors or dangerous situations in home environments

What's your use case?

We’d love to know more.

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

Let's talk about synthetic data!