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.

Key Features of Synthesis AI

• 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 for Synthesis AI

• 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