Definition: Computer vision is the field of AI that enables software to interpret images and video, including classifying what is shown, detecting and locating objects, reading text and tracking movement.
Core tasks include image classification, object detection, segmentation, optical character recognition (OCR), pose estimation and video tracking. Methods range from convolutional neural networks to vision transformers and multimodal foundation models that answer questions about images.
Examples include quality inspection in manufacturing, damage assessment in insurance, shelf monitoring in retail, identity document checks, and medical image triage that supports clinicians.
Production work involves collecting and labeling images, choosing between pretrained models and custom training, handling lighting and camera variation, deploying to cloud or edge devices, and monitoring accuracy as conditions change. Many teams now start with a multimodal foundation model to test feasibility quickly, then train a custom model where volume, latency or accuracy requires it.
Ryz computer vision engineers build and deploy vision models in your cloud, working on your team and reporting to your leads.
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