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.
Less rigid fixturing and more format flexibility /Fewer stops from poorly presented parts /Stable cycle with variable parts /Verification before picking and after placing /Less rigid fixturing and more format flexibility /Fewer stops from poorly presented parts /Stable cycle with variable parts /Verification before picking and after placing /Less rigid fixturing and more format flexibility /Fewer stops from poorly presented parts /Stable cycle with variable parts /Verification before picking and after placing /Less rigid fixturing and more format flexibility /Fewer stops from poorly presented parts /Stable cycle with variable parts /Verification before picking and after placing /
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.
Criterion
2D
3D
3D + bin picking
Conveyor tracking
Best for
Flat parts and known position
Height, volume and orientation
Stacked or random parts
Moving part
Data required
Contrast, color or shape
Point cloud or profile
Cloud, separation and feasible grasp
Encoder, trigger and speed
Limit
Limited height and occlusion
Calibration and reflective surfaces
Cycle and collision risk
Latency 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.
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.
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