Achieve Accuracy

The secret to reliable picking with a vision-guided system.

What is Accuracy?

3D vision systems must meet several demands to be effective and reliable when deployed for tasks such as pick-and-place or machine tending. Amongst these demands are the interrelated topics of trueness, precision, and accuracy.

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Precision

represents the ability to distinguish edges/studs of the LEGO brick so that they are clearly visible and not just “hidden” by general surface noise.

Trueness

is making sure the dimensions of the bricks correspond to the actual dimensions, that all objects are shown true to reality, that flat is actually flat in the whole scene, and that individual distances between objects are correct.

Accuracy

is seeing the combination of the two, seeing the details on the LEGO, and simultaneously having everything in the scene represented by its true form, size, position, and orientation.

Trueness: the Metric that Matters

The International Standards Organization (ISO) defines trueness under ISO 5725 as "the closeness of agreement between the arithmetic mean of a large number of test results and the true or accepted reference value. Precision refers to the closeness of agreement between the test results."

We make it simple to understand in these short videos: 

True-to-Reality Results

Crafted specifically for industrial environments, Zivid 3D cameras have a dimensional trueness error of <0.2% even in harsh conditions. Learn what it means practically in this demo:

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Zivid 3D machine vision enables smarter factories and warehouses of Industry 4.0. Our market-leading 3D color cameras and software enable customers to boost efficiency and productivity in a range of applications including robotic bin-picking, piece picking, material handling, welding, inspection and quality control.