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Computer vision

Every detector has a threshold, and somebody chose it

What the camera reports depends on a number a person picked. Which mistakes you would rather make is a business decision, not a technical one.

What a detector really returns

A vision model does not return objects. It returns guesses with a confidence attached to each one, and a threshold turns those guesses into a yes or a no.

Move the threshold up and you miss things that were really there. Move it down and you flag things that were not. There is no setting that avoids both, and pretending otherwise is how these systems lose trust in their first month.

So the threshold is set deliberately, against which mistake costs more in your situation, and it is written down with the reasoning. A missed crack in a bridge and a missed parcel on a belt are not the same kind of error.

A frame with three detections beside a bar chart cut by a confidence threshold On the left a frame holds three boxes, two drawn firmly and marked with high scores and one drawn faintly in violet marked with a low one. On the right four bars stand on an axis. A blue line crosses them marked threshold. The two bars below the line are violet, and one carries a blinking point, under the words what falls under it is still there. 0.97 0.88 0.41 WHAT IT SEES 1.0 0 THRESHOLD STILL THERE DETECT . SCORE . DECIDE . ADMIT THE MISS
En sensor eller matare
An instrument panel. Every reading on it is a number with a tolerance, and a detector is no different.

Detection

What falls under the threshold is still there

The useful habit is to keep the low confidence detections rather than discarding them. They are the record of what the system nearly saw, and they are where the next round of improvement comes from.

They are also the honest answer when somebody asks why a system missed something. A detector that logs only its confident answers cannot explain itself, and a system that cannot explain itself is hard to keep in service.

The choices

What has to be settled before the camera is mounted

The mounting is usually the cheapest part and the one that decides the most.

DecisionWhy it comes firstWhat it rules out
Which mistake costs moreIt sets the threshold and everything downstreamAny claim that the system is simply accurate
LightingIt changes the data more than the model doesSites where the light cannot be controlled or measured
Camera positionResolution at the target decides what is possibleDetecting anything smaller than a few pixels
What happens on a missSomebody has to catch what falls throughRunning unattended before that path exists

Three of the four are decided with a tape measure and a light meter rather than with a model.

Or write here

Three fields, and a person reads it

Name, an address we can answer to, and what you are trying to build. You get a reference back straight away.

We use this to answer you and, where it fits, to prepare a scope. The lawful basis is steps taken at your own request before a contract. It is stored on our own server in the European Union, never passed to anyone, and deleted after twelve months if it does not become an engagement. The full notice is on the legal page.

A frame with three detections beside a bar chart cut by a confidence threshold On the left a frame holds three boxes, two drawn firmly and marked with high scores and one drawn faintly in violet marked with a low one. On the right four bars stand on an axis. A blue line crosses them marked threshold. The two bars below the line are violet, and one carries a blinking point, under the words what falls under it is still there. 0.97 0.88 0.41 WHAT IT SEES 1.0 0 THRESHOLD STILL THERE DETECT . SCORE . DECIDE . ADMIT THE MISS

What do you need to see?

Tell us what has to be spotted and what it costs to miss it. That pair decides most of the build.

Start a conversationAll of it together