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Complete your Retail Digital Transformation with Synthetic Data AI powered Innovation

Retail teams need computer vision synthetic training for point of sale tasks such as produce recognition, product identification, and loss prevention. Real stores change SKU ranges frequently, packaging updates are constant, and capturing enough clean examples is slow and expensive. Synthetic images and synthetic datasets for CV provide scalable coverage across lighting, angles, occlusions, and camera setups. 

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Why Traditional Approaches Fall Short

Retail is by its very nature a human centric industry. In order to have accurate, unbiased AI systems, a fully diverse population must be used in training the AI system. In addition frequent images of children are required which have additional privacy concerns.

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How Synthera™ Solves It
 

Synthera™ uses simulation based data generation to create SKU rich scenes, green screen variation, and photorealistic image synthesis. We simulate conveyors and gravity drops for occlusion diversity, provide generic checkout models, trolleys, and baskets, and output precise two dimensional and three dimensional labels with metadata for multi modal AI with synthetics. Pipelines support generative AI for CV tasks and computer vision synthetic training at scale. 

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Use Case Examples
 

  • Automated and self Checkouts

  • Shelf Analysis

  • Shopper heatmaps

  • Spill detection

  • Staff welfare checking

  • Lost person tracking/finding

  • Anti-social behaviour detection

  • Loss prevention

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Improve your model accuracy and robustness,
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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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