Analyse images at scale
The model can assess large numbers of images against predefined characteristics.
AI for image recognition
Let AI identify objects, features or anomalies in images.
Large volumes of photos or video footage are difficult to review entirely by hand. As a result, relevant information sometimes goes unused. Image recognition uses models to identify predefined objects or patterns in images.
From a possibility to a useful application
An application only becomes meaningful when it fits a specific task and the information available for it.
Suitability and reliability depend heavily on image quality and representative training data. That’s why we define in advance what the solution should and should not do, how its output will be checked and who remains responsible.
What it delivers
Support reviews
Images that stand out or are relevant can be presented to a staff member.
Measure quality
Performance is validated against defined criteria and real-world examples.
Our approach
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Define the visual task
We establish which feature or anomaly needs to be detected.
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Assess image data
We examine 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.
Tailored to your organisation
This service is relevant to organisations with recurring visual assessment tasks. The exact setup depends on the process, the available data and the risks associated with 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 challenge: image recognition uses models to identify predefined objects or patterns in images. Exactly how it works depends on the process and the data available.
The service may be relevant to organisations with recurring visual assessment tasks. A specific need and usable information matter more than the size of the organisation.
That depends on the application. We start with the question that needs answering, 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 challenge effectively and add complexity only when needed.
We define the scope of the application, validate the results with users and put appropriate checks in place. Once it is in use, we monitor how it works and adjust the solution when the data, usage or context changes.
Discover what AI for image recognition could mean for your organisation
Want to explore where AI for image recognition makes sense as a starting point? Together, we assess the challenge, the available information and the requirements.