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Machine vision · Guidance

Vision for robot guidance

When the part does not always arrive in the same position, the robot needs to see it. The cell combines camera, calibration, lighting, algorithm and gripper. Feasibility depends on part variation, cycle, placement accuracy and station safety.

Part location and orientation so the robot can pick, place or assemble without rigid presentation.

Vision for robot guidance
Vision for robot guidance
  • Less rigid fixturing and more format flexibility
  • Fewer stops from poorly presented parts
  • Stable cycle with variable parts
  • Verification before picking and after placing

What it solves

Concrete applications

  • Bin picking of stacked or random parts
  • Conveyor location and orientation
  • Pick and place with variable tolerance
  • Assembly and verification before placement
  • Mixed-format palletizing
  • Machine loading with variable position

Comparison

Which vision each guidance task needs

The decision depends on whether the part is planar, stacked, moving or requires full orientation.

Criterion2D3D3D + bin pickingConveyor tracking
Best forFlat parts and known positionHeight, volume and orientationStacked or random partsMoving part
Data requiredContrast, color or shapePoint cloud or profileCloud, separation and feasible graspEncoder, trigger and speed
LimitLimited height and occlusionCalibration and reflective surfacesCycle and collision riskLatency and synchronization

In detail

What defines the cell

Robot-camera calibration

Camera and robot must share the same coordinate system. Calibration is validated across the whole work volume, not just the center.

  • Hand-eye or fixed-camera calibration.
  • Validation at several points in the volume.
  • Repeatability after a tool change.
  • Recalibration procedure and record.

Gripper and grasp

Vision finds the part; the gripper decides whether it can be picked. Shape, weight, surface and clearance define the end effector and grasp strategy.

  • Vacuum, suction cups, parallel gripper or soft gripping.
  • Grasp points and collision.
  • Format change and maintenance.
  • Pick verification before moving.

Cycle, occlusion and safety

The real cycle includes seeing, thinking, moving, picking, verifying and placing. Occlusion and station safety may require changing the camera or layout.

  • Acquisition and processing time.
  • Occlusion and overlapping parts.
  • Safety zones and operator access.
  • Trial with real part and feeding.

Cell integration

Vision integrates with robot, PLC, conveyor and safety system. Retry and reject logic is defined before commissioning.

  • Trigger, encoder and conveyor tracking.
  • Robot, PLC and safety signals.
  • Retry, reject and fault logging.
  • Recipe change per product.

To assess

What we need to assess your guidance

Send my case
  1. 01Part, material and weight.
  2. 02How it arrives: tray, conveyor, bin or stack.
  3. 03Orientation and placement tolerance.
  4. 04Required cycle and number of formats.
  5. 05Robot, gripper and available space.
  6. 06Photos or video of the real feeding.

Industries

Where it is used

  • Automotive and parts
  • Food and beverage
  • Logistics and packaging
  • Electronics
  • Metalworking
  • Pharma

Related guides

Keep assessing

Frequently asked questions

Vision for robot guidance

When is 3D vision needed?

When height, orientation or overlap matter. If the part is flat and always in the same plane, 2D may be enough.

Can any part be bin-picked?

No. The part must be separable, graspable and removable without collision. A trial with the real part confirms feasibility.

How is the camera calibrated to the robot?

With calibration points and validation across the work volume. Calibration is verified with the real gripper and part, and documented so it can be repeated.

Does vision replace good feeding?

No. Vision solves uncertainty; it does not fix feeding that cannot separate or present the part. A better-designed tray is often cheaper than a camera.

What if the part is poorly oriented?

The cell can reject it, retry or request intervention. The logic is defined with the customer and tested with borderline cases.

Does it integrate with conveyor tracking?

Yes, with an encoder and synchronization logic. Latency and conveyor speed define the time available to process the image.

What data is needed for a trial?

Part, feeding, weight, tolerance, cycle, robot and gripper. With that, camera, optics and algorithm are defined and tested with real parts.

Do you work with any robot brand?

Vision integrates with the existing robot and PLC when interfaces allow it. Compatibility is validated during assessment.

Next step · Gist Point

Have a part to assess?

Send photos or a video and we will define whether a vision trial, an assessment or a complete cell makes sense.