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COMOVA / Computer vision

Image-based workflows with measurable evaluation.

Images vary in quality, lighting, and content. Start by defining the task and evaluating representative samples before integrating a vision model into a workflow.

01 / WHAT WE BUILD

From the problem
to a useful system.

Start with a defined scope, review the existing workflow, and agree how the result will be evaluated.

  • Image classification and review
  • Visual inspection prototypes
  • Document and image extraction
02 / ENGINEERING APPROACH

A connected foundation.

ILLUSTRATIVE ARCHITECTURE
  1. 01Business requirements
  2. 02Information & access
  3. 03Application capabilities
  4. 04Connected workflows
  5. 05Review & operation
INDIVIDUAL CAPABILITIESONE DIRECTION

Make the decisions explicit.

Define the source of truth, the user journey, the integration boundaries, and the behavior when something needs human attention. The final architecture follows your project requirements.

PythonOpenCVVision modelsEvaluation datasets
Explore the delivery process
04 / BEFORE WE BEGIN

A few useful questions.

THE NEXT SYSTEM STARTS WITH A CONVERSATION

Ready to build
the system?

Tell us what you’re trying to build, automate or scale.

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