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  1. Home
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  3. How AI vision teaches a robot to see parts

How AI vision teaches a robot to see parts

Tech deep dive
Photo of Michael Nessim

Michael Nessim

May 14, 2026 · 3 min read

Close-up of a cobot wrist with its vision camera mounted under the gripper bracket, beside a Haas CNC mill
Photo of Michael Nessim

Michael Nessim

May 14, 2026 · 3 min read

Here's something most people don't know about factory robots.

Many of them are blind.

They don't look for the part. They go to where the part should be. If it's there, great. If it's a few millimeters off, or missing, or upside down, they find out the hard way.

We wanted a robot that looks first.

Blind robots need perfect setups

A blind robot depends on a perfect world.

Every part sits in a custom fixture. Every tray is machined to hold one exact shape. Every change of job means new fixtures, new teaching, new hours.

That's fine if you run the same part 50,000 times.

It's painful if you're a job shop running 30 different parts this month.

And that's exactly who we're building for.

What AI vision changes

The Axton Robotics station has a camera that watches the parts and the work area.

But a camera alone just takes pictures. The AI is what turns those pictures into decisions.

The station is designed to

  • find each part on the shelf, even if it isn't perfectly placed
  • recognize which part it is looking at
  • understand its position and orientation before picking
  • notice an empty spot or something that doesn't belong

Instead of hoping the part is there, the robot knows.

Cobot arm above a tray of machined parts on the Axton Robotics carousel
Each part has to be found and picked, whatever way it sits.

From seeing to deciding

Seeing is step one. Deciding is what matters.

If the part is where it should be, the robot picks it and moves on.

If it's shifted, the robot adjusts its grip.

If something looks wrong, a missing part, the wrong part, an unexpected object, the station is designed to stop and tell someone. Not guess.

Michael Nessim testing the Axton Robotics machine tending software on a computer
Testing the station software in the lab.

A robot that knows when to stop is worth more than one that never does.

Why this matters for job shops

Vision is what makes plug and play realistic.

Less custom fixturing. Faster changeovers. Simple trays instead of precision nests for every part.

An operator can load the day's work in the morning without needing to place every part perfectly. The station handles the small differences.

That's the difference between automation for big factories and automation for real shops.

The honest part

Machine shops are hard places for cameras.

Shiny aluminum reflects light. Coolant and chips get everywhere. Shop lighting changes through the day.

These are real challenges, and they're a big part of what we're testing. Good vision isn't just a smart model. It's lighting, camera placement, and a lot of time watching real parts on a real floor.

Hands adjusting a robotic gripper on a cobot arm during testing
Good vision takes a lot of time with real parts on a real floor.

Eyes plus a sense of place

In our last post, we talked about AprilTags, the markers that tell the station exactly where it is.

AI vision is the other half. AprilTags tell the robot where it stands. Vision tells it what's in front of it.

Together, they let a robot work on its own with confidence.

Next, we'll step away from the tech and talk about the real reason all of this matters. The machine tender most shops can't hire.

Curious how vision would handle your parts? Get in touch.

← Previous postHow AprilTags catch a 1 mm shift nobody sawNext post →The machine tender you can't hire

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