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Computer Vision

Perception systems that hold up in bad light and worse weather.

Benchmark accuracy is the beginning of the conversation. We care about the long tail: occlusion, motion blur, domain shift, and the edge device that has to run all of it on a power budget.

What this looks like in practice

  • Detection, tracking, and pose estimation
  • Edge-deployed inference on constrained hardware
  • Visual inspection and anomaly detection
  • Dataset curation and active learning loops
  • Domain adaptation and synthetic data

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