Camera intelligence · Feature guide

Custom object detection CCTV

Your site may use equipment that a standard camera model does not recognise. On-site learning allows supported systems to learn a custom object from examples, such as a particular trolley used on a production floor. The result depends on the training material and installation.

Illustration teaching a camera to recognise a custom orange factory trolley
AI-generated illustration of on-site object learning. The scene and overlays explain the concept; they are not a PGAK screenshot or measured result.

How it works

Train supported cameras to recognise specific objects using examples from the installation.

Where it could help your business

Evaluate detection of a particular cart or equipment type on a factory floor.

Collect examples from different angles and normal lighting conditions. Keep some examples aside for testing rather than training. Include similar objects that should not match, so you can see whether the model has learnt the intended distinction.

What your camera setup needs

Needs supported hardware and representative training images. Not every object is suitable for learning.

Can I teach the camera to recognise anything?

No. Suitable object shape, visibility, training quality and model support all matter. Test the specific object before committing to a wider installation.

Check it on your own site

Bring a camera model list and explain the event you want to find or detect. We can use that to scope a compatibility assessment. Ask for a written proposal naming the supported functions, processing hardware, licences and pilot checks before agreeing to an installation.

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