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Machine-vision guides
How to choose and set up lenses, lights, cameras and controllers: the numbers that decide, worked examples, calculators and the parts that fit. Written by our applications team.
Latest
System design · Troubleshooting
Vision target selection mapping: diagnose rejected requests
Troubleshoot vision target selection mapping by checking sampled product and format values, grouped inputs, work-area recipes and startup timing.
System design · Explainer
Vision queue conveyor speed control for continuous picking
Use vision queue conveyor speed control with valid target counts, hysteresis, acceleration limits and stale-data handling for continuous picking.
System design · Troubleshooting
Vision project controller mapping: diagnose transfer failures
Diagnose vision project controller mapping failures by checking online identity, saved addresses, software versions and authorized access.
System design · Troubleshooting
Vision cell network isolation from a busy plant LAN
Diagnose vision cell network isolation faults with packet captures, switch counters and controlled tests before changing switches, VLANs or routing.
System design · Explainer
RS232 vision recipe selection with unique command codes
Use RS232 vision recipe selection to map documented commands to recipe identities, verify acknowledgments, and control reliable PLC changeovers.
System design · Troubleshooting
Robot camera cable failures: routing and fatigue checks
Diagnose robot camera cable failures by checking bend radius, torsion, snag points and strain relief, then specify and validate a replacement.
System design · Troubleshooting
RGB camera frame rate limits: pixel format and exposure
Diagnose RGB camera frame rate limits with exposure checks, pixel-format bandwidth calculations, live feature bounds and Bayer conversion tests.
Calculators
Work out the numbers before you pick the parts: focal length, resolution, depth of field, motion blur, bandwidth and line rate.
All calculators →Lighting
Choosing and setting up machine-vision lights: geometry, colour, diffusion and the defects each light reveals.
Lighting guides →Lenses & optics
Focal length, field of view, telecentric optics, mounts and resolution: picking the lens that makes the measurement possible.
Lenses & optics guides →
Lenses & optics · Guide
How to choose a machine vision lens focal length
Work out the focal length from sensor width, field of view and working distance, then check close focus, resolution and distortion. With a calculator.
Cameras & sensors
Area scan and line scan cameras, sensors, interfaces, shutters and exposure: how many pixels you need and how to move them.
Cameras & sensors guides →
Cameras & sensors · Explainer
Monochrome color sorting under changing ambient light
Evaluate monochrome color sorting for red and yellow parts, compare illumination, measure grayscale separation, and control changing ambient light.
Cameras & sensors · Explainer
Camera exposure and gain units: interpreting raw values
Interpret camera exposure and gain units, distinguish raw values from decibels, and verify brightness scaling without assuming a conversion.
Cameras & sensors · Troubleshooting
Per-frame exposure and gain: verifying camera metadata
Verify per-frame exposure and gain with frame IDs, timestamps and controlled tests, separating capture metadata from current camera setting readbacks.
Code reading
Fixed and handheld code readers: 1D, 2D and direct part marks, reader set-up and fixing no-reads.
Code reading guides →
Code reading · Troubleshooting
1D barcode preprocessing for rotation, blur and glare
Diagnose failed 1D barcode preprocessing with rotation tests, quiet-zone checks and thresholding, then identify blur or glare that needs acquisition changes.
Code reading · Explainer
USB barcode scanner data capture in your application
Set up USB barcode scanner data capture by identifying keyboard or serial input, framing complete scans, and testing focus, buffering and errors.
3D vision
Laser profilers and 3D sensors: when height data beats a 2D image, and how to set them up.
3D vision guides →
3D vision · Troubleshooting
Stereo disparity map troubleshooting after rectification
Stereo disparity map troubleshooting: measure vertical alignment, verify image order and search range, and separate matching faults from depth errors.
3D vision · Explainer
Multi-camera point cloud synchronization for mobile robots
Separate multi-camera point cloud synchronization into exposure timing, clock alignment and calibration, with motion-error and bandwidth examples.
3D vision · Explainer
Bounding box depth: mapping image pixels to 3D points
Find bounding box depth from aligned images or organized point clouds, with checks for changing point counts, calibration, timing and invalid samples.
System design
Putting a station together: PCs, triggers, cables, mounting and the parts list for a working system.
System design guides →
System design · Troubleshooting
Vision target selection mapping: diagnose rejected requests
Troubleshoot vision target selection mapping by checking sampled product and format values, grouped inputs, work-area recipes and startup timing.
System design · Explainer
Vision queue conveyor speed control for continuous picking
Use vision queue conveyor speed control with valid target counts, hysteresis, acceleration limits and stale-data handling for continuous picking.
System design · Troubleshooting
Vision project controller mapping: diagnose transfer failures
Diagnose vision project controller mapping failures by checking online identity, saved addresses, software versions and authorized access.
Applications
Worked inspection tasks by industry: the set-up, the numbers and the parts that solved them.
Applications guides →
Applications · Application note
Screw thread inspection camera selection for robot handling
Specify a screw thread inspection camera from defect size, field of view and motion, with backlighting, gripper tilt and multi-view checks.
Applications · Application note
Coated rod inspection for diameter and core eccentricity
Plan coated rod inspection at 1,000 parts per minute, separating outside diameter from hidden-core eccentricity and validating a 0.04 mm measurement target.
Applications · Application note
Camera lens scratch detection with controlled image tests
Separate camera lens scratch detection from image-quality testing, with lighting choices, reference targets, practical metrics and validation checks.
The configurator matches a camera, lens, light, controller and cables to each other, step by step.