Question 1

What is computer vision?

Accepted Answer

Computer vision is a field of artificial intelligence that trains machines to interpret images and video the way humans do — detecting, classifying, locating, and tracking objects in visual data. Foveo packages this into a deployable platform so any camera becomes a real-time sensor.

Question 2

What can the Foveo computer vision platform detect?

Accepted Answer

Foveo supports object detection, instance and semantic segmentation, multi-object tracking, OCR and document parsing, anomaly and defect detection, pose estimation, and counting — across manufacturing, retail, logistics, security, agriculture, and healthcare.

Question 3

Does Foveo run on the edge or in the cloud?

Accepted Answer

Both. Foveo models run on-device at the edge for sub-10ms latency and offline operation, or in the cloud for elastic batch processing. The same model artifact deploys to either target with no code changes.

Question 4

How accurate is Foveo's object detection?

Accepted Answer

Production deployments typically reach 95–99% precision after a short fine-tuning loop on customer data. Accuracy depends on use case, camera placement, and labeled examples; Foveo's active-learning pipeline improves models continuously from live feedback.

Question 5

How long does it take to deploy a computer vision model?

Accepted Answer

Most teams ship a first working model in 2–4 weeks using pre-trained backbones and Foveo Model Studio. Custom use cases with new object classes take longer depending on data availability.

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