VISION DIFFERENCE

Machine vision vs robot vision — the two are not the same.

Inspection vision judges OK/NG; robot vision converts the recognized position into robot coordinates and carries it through to the actual pick.

AT A GLANCE

Why robot vision is different — 3 reasons

Inspection vision looks at a single aligned product up close and outputs OK/NG. Robot vision works under different conditions altogether. The numbers show the difference.

Minimum shooting distance 650mm — clearance from the robot arm

01 · Shooting distance

650 mm+

Clearance from the robot

To leave room for the robot arm to move, the shooting distance grows to at least 650 mm. The lighting method and setup technique differ from inspection vision.

Irregular, overlapping parts — tracking 200–400× the part area

02 · Shooting range

200–400 ×

Many products captured across a wide area

It tracks a range of 200–400 times the part area. In a wide FOV full of irregular, overlapping and flipped parts, it has to find a position it can pick.

0.8 × 1.6 mm micro part — precise processing within 11,250× the part area

03 · The result is robot coordinates

0.8 × 1.6 mm

Found and processed within 11,250× the part area

Pick by precise coordinates

It outputs X/Y/θ coordinates in mm, not OK/NG. That these numbers are actually achievable is the difference of robot vision.

Which one is the vision you use today? — 6 diagnostic checks tell you quickly.

Diagnose your vision now →

WHY

Why the two kinds of vision must be told apart

Both are called "vision," but the result they produce is different. Inspection vision outputs an inspection result (1/0). Robot vision outputs a physical position (X/Y/θ). Because the kind of output data is different, one vision system cannot play both roles.

Inspection vision

Outputs an inspection result — 1 or 0

It analyzes the image and judges pass or fail. The result is 1 or 0, a physical signal. It cannot tell the robot where to move.

1 / 0 Pass / fail signal

Robot vision

Outputs a physical position — X / Y / θ

It computes the physical position of the part from the image. The result is X / Y / θ coordinates — used directly for the robot to move to that position. It is position data, not an inspection result.

X / Y / θ Robot coordinates (in mm)

Item-by-item comparison and the technical differences — core technology / robot vision →

HOW IT WORKS

How robot coordinates are made from vision

From the camera recognizing the part to the robot receiving its pick command — a 4-step processing flow.

Training Part learning
Recognize Position and angle recognition
Robot coordinates Coordinate conversion and alignment
Communication Robot command transfer

DIAGNOSTIC

Is the vision you use today the right type for a robot?

Check with 3 questions. If even one is YES, inspection vision has most likely been slotted into your robot pick-and-place flow.

  1. 01

    Is the only result your vision outputs a 1/0 (pass/fail signal)?

    If YES — If there are no X/Y/θ coordinates, it is inspection vision. The robot cannot know where to move, so it cannot perform a pick.

  2. 02

    Is the camera mounted on the robot arm, or is the shooting distance so short that it interferes with the robot?

    If YES — Robot vision needs a distance of at least 650 mm to capture without colliding with the arm. Inspection vision designed for close-range capture does not meet this condition.

  3. 03

    Are irregular, overlapping parts scattered across a wide area, and do you have to find which one to pick?

    If YES — Inspection vision assumes a single, aligned product. Finding a pickable position among many parts in a wide FOV is the job of robot vision.

If the diagnosis is unclear — send us your current system information. We will review the fit with you.

MISMATCH

When inspection vision is used on a robot as it is

The mismatches we often see on the floor and their consequences. Designing with robot vision from the start avoids these problems.

  • Situation

    Connecting inspection vision straight to a robot

    Result — Only an OK/NG result comes out and there are no pick coordinates, so the robot has no idea where to go.

  • Situation

    Passing image coordinates without coordinate conversion

    Result — They do not line up with the robot coordinate system, so every run needs correction or risks a collision.

  • Situation

    Inspection vision with no Recipe function

    Result — Conditions have to be entered by hand every time the model changes, which makes operation hard.

  • Situation

    Running separately with no integration

    Result — Vision, robot and feeder move on their own, so trigger and synchronization problems keep coming back.

START

We will review whether the vision you use today suits your robot.

Tell us your current vision system, robot and part conditions, and we will check the fit with you.