Analyse images at scale
The model can assess large numbers of images against defined characteristics.
Computer Vision for quality control
Inspect products or assets using image analysis to complement human checks.
Visual quality checks are labour-intensive and can be difficult to carry out consistently at high volumes. Computer vision analyses images for predefined features or anomalies.
From an isolated possibility to a practical application
The application only becomes meaningful when it fits a specific task and the information available to carry it out.
We validate the application using representative images and clear quality criteria. That is why we define in advance what the solution should and should not do, how the results will be checked and who remains responsible.
What it delivers
Support review
Unusual or relevant images can be referred to a staff member.
Assess quality measurably
Performance is validated against defined criteria and real-world examples.
Our approach
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Define the visual task
We define which feature or anomaly needs to be detected.
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Assess image data
We assess quality, variation and representativeness.
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Develop the model
We choose an approach that suits the task and the available images.
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Validate in practice
Experts assess performance in representative situations.
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Integrate and monitor
We incorporate the results into the inspection process and continue to monitor performance.
Designed to fit your organisation
This service is relevant to production and asset-intensive organisations. The exact setup depends on the process, the available data and the risks of the application.
We therefore start with a clearly defined application and only expand it once the initial setup works in practice.
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Frequently asked questions
This service addresses the following question: computer vision analyses images for predefined features or deviations. Exactly how it works depends on the process and the available data.
The service may be relevant to manufacturing and asset-intensive organisations. A clear need and usable information matter more than the size of the organisation.
That depends on the application. We start with the question you need to address, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, conventional automation may be enough. We choose the simplest approach that addresses the question and add complexity only when needed.
We define the scope of the application, check the results with users and put appropriate controls in place. Once it is in use, we monitor how it works and adapt the solution when the data, its use or the context changes.
Discover what computer vision can do for quality control in your organisation
Want to explore where computer vision could be a practical starting point for quality control? We’ll work with you to map out the challenge, the available information and the requirements.