Computer Vision
Computer vision can support image-based work, from visual inspection to document processing. We start with representative images, a precise task and a review route for uncertain results before choosing a model.
Where it can help
Start with a specific task and a result your team can evaluate.
Visual quality inspection
Screen product or equipment images for features that deserve a closer human check.
Object detection and counting
Locate and count defined objects in images to support inventory or operational reporting.
Document and image sorting
Route visual records by type and extract useful signals for an existing business process.
How a project works
- 1
Scope the image task
Check image quality, privacy, permissions and the conditions in which the system will be used.
- 2
Prepare and evaluate
Label representative examples and test performance across the variations that matter in practice.
- 3
Design for review
Define how uncertain results are surfaced, checked and fed back into the workflow.
What you receive
The exact scope is agreed in your proposal. A typical engagement can include:
- An image-data and use-case assessment.
- An evaluated prototype with examples of common errors.
- Integration and human-review guidance for the agreed workflow.
Talk through your use case
Describe the images or video your team works with and the decision you want to support. We can assess what a useful pilot would require.