Synthesis ai

Synthesis AI provides simulation and synthetic data for computer vision and perception AI. They offer solutions for biometrics and security, consumer devices, and automotive applications. Their synthetic data helps create privacy-compliant human data, unbiased datasets, and faster production cycles. They focus on applications like ID verification, activity recognition, AR/VR/XR, virtual try-on, driver monitoring, and pedestrian detection.

How to Use

Synthesis AI offers synthetic data solutions tailored to specific applications. Users can leverage their platform to generate datasets for training computer vision models in areas like biometrics, consumer devices, and automotive. The platform provides tools and resources to simulate various scenarios and edge cases, ensuring robust model performance.

Synthesis AI's

Key Features

• Synthetic data generation for computer vision
• Simulation of various scenarios and edge cases
• Privacy-compliant human data
• Unbiased datasets
• Pixel-perfect 3D labels

Use Cases

• ID verification using facial identification and verification
• Activity recognition and threat detection in security applications
• Spatial computing, gesture recognition, and gaze estimation for AR/VR/XR headsets
• Virtual try-on applications with diverse identities and clothing options
• Driver monitoring systems simulating driver and occupant behavior
• Pedestrian detection in autonomous vehicles, covering edge cases and rare events