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Train Vision AI for Vehicles Without Limits

Vehicles are increasingly turning to vision based AI for a multitude of tasks, and need reliable data for training systems such as in cabin monitoring, driver assist, and theft prevention.  Use cases are constantly evolving based on new legislation and company innovation, and a constant stream of new training data is required to power these use cases.

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Why Traditional Approaches Fall Short

Using traditional real world or synthetic data fails to capture the required variety of data for high performing models. The data required to improve the model is often not known at the outset and the engineer must go round in a time consuming and costly iteration, constricted by available data.

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How Synthera™ Solves It
 

Synthera Chameleon™ puts you in the driving seat!  We give you the ability to place multiple cameras in and around the vehicle to create simultaneous, synchronous camera data with advanced and fully accurate annotations.  Our digital humans ensure that we can model the entire diversity of the human population without concerns over bias, privacy and accuracy.

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Use Case Examples
 

  • Street sign recognition and OCR

  • In cabin driver monitoring

  • In cabin occupancy/safety monitoring

  • Driver assistance systems such as pedestrian detection and automated braking

  • Perimeter monitoring for safety and security

  • Camera placement and specification optimization

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Improve your model accuracy and robustness,
faster than ever...

Check out our other markets

Synthera™ delivers scalable synthetic data solutions that help companies train safer, smarter, and more reliable computer vision models across diverse industries. Explore how our technology supports applications in:

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