Count objects automatically
Capture quantities, evaluate structures, automate processes
In many applications, objects need to be counted and evaluated reliably – whether in production, in the laboratory or in image analysis. Manual counting is often time-consuming, error-prone or not reproducible.
Dat-inf develops custom solutions to count objects automatically and make the results directly usable for analyses or process decisions.
Depending on the application, cells, particles, grains, parts, holes, pores or other structures are detected automatically, separated from one another and counted. Dense, overlapping or hard-to-distinguish objects can also be evaluated reliably.
The results are visualized, documented and made available for further analysis, statistical evaluation or direct decisions in the process.
Typical terms in this context also include cell counting, particle analysis or automatic quantity detection.
Classify the counting task quickly
What needs to be counted – and under which conditions?
For reliable automatic counting, it is crucial to understand what the objects look like, how densely they are arranged and under which conditions they are captured.
- classification of object types and typical challenges
- guidance on image quality, contrast and separability
- recommendation for a feasibility study or pilot solution
Especially helpful are
- sample images of the objects
- information about density and distribution
- details about capture conditions or the process
Typical applications
- Count cells automatically in microscope images
- Count particles and pores for material analysis
- Count grains and seeds for quality evaluation
- Detect holes and structures in surfaces
- Capture item counts in production and packaging
Typical challenges
- Overlapping or densely packed objects
- Different sizes and shapes
- Varying lighting or contrast
- High volumes and large amounts of data
Solution: automatic counting with image analysis
Automatic counting is carried out by combining machine vision, camera technology and software. Objects are segmented, separated from one another and counted.
Depending on the application, classical methods or AI-based approaches are used – especially for complex or hard-to-separate structures.
Benefits of automatic counting
- Fast and reproducible results
- Automatic evaluation of large data volumes
- Reduced manual work
- Objective and traceable results
- Flexible adaptation to different applications
- Integration into existing processes
Try the AI Counter Demo directly
The AI Counter Demo lets you test automatic object counting directly in the browser. The demo shows how AI-based detection evaluates objects locally in the image and marks them visually.
- direct practical impression of automatic object counting
- upload an image or use the camera
- fast visual feedback in the browser
Further information and suitable solutions
Further information is also available under Machine Vision, AI / Machine Learning, Measurement Systems, Object Counter and Scientific Counter.
Frequently asked questions about automatic counting
Which objects can be counted?
Cells, particles, pores, seeds, parts or other visual structures – as long as they can be distinguished sufficiently in the image.
Can small structures such as pores also be counted?
Yes, even very small structures such as pores or fine particles can be captured if the image acquisition is designed accordingly.
Is counting possible with overlapping objects?
Yes, depending on the application, overlapping or hard-to-separate objects can also be detected reliably.