Robotics
Factory Automation
Measuring Vision Performance
Industry Needs Across Key Factory Automation Segments
Automotive Manufacturing
Robotic vision in automotive production must perform reliably under extreme lighting, fast motion, and tight tolerances.
Image Quality Factors:
HDR stability - consistent imaging under welding arcs, shadows, and high‑contrast scenes
Geometric precision - accurate positioning for assembly and alignment tasks
Color accuracy & repeatability - reliable detection of parts, surfaces, and inspection features
Electronics & Semiconductor
Micro‑precision robotics depend on imaging systems that remain stable under LED lighting and capture extremely fine details.
Image Quality Factors:
Flicker robustness - stable imaging under LED and high‑frequency lighting
High resolution & fine detail - accurate detection of tiny components and PCB structures
Timing & geometric stability - precise alignment for micro‑assembly and inspection
Metal Fabrication
Metalworking environments create reflections, glare, sparks, and vibration, demanding robust imaging for safe and accurate robotic operation.
Image Quality Factors:
HDR performance - clear imaging despite reflections, glare, and bright sparks
Motion stability - reliable capture during cutting, bending, and machining
Geometric calibration - precise tool guidance for accuracy and safety
Main Applications
Take a look at the key applications and factors that determine the performance of factory automation cameras in terms of image quality.
Dynamic Range
Flicker (MMP)
Geometric Calibration
Distortion reduces geometric accuracy by causing straight structural or component edges to appear curved or warped, directly affecting robotic alignment, positioning, and reliable part handling.
Color Calibration
Color accuracy is essential for camera systems to depict the captured scene accurately. Camera color calibration ensures the camera meets industry color requirements.
Key Products & Solutions
We offer a wide range of test solutions for all of the most crucial Robotic Imaging applications and performance metrics.
Arcturus & Vega
High-intensity light sources with unmatched stability and consistency.tdf
GEOCAL
camSPECS
iQ-Analyzer-X
iQ-LED light source is for more efficient camera characterization and calibration.
Testing Image Quality Factors
Let us test your cameras!
In robotics‑driven factory automation, image quality is the foundation of reliable machine performance. Each factor represents a measurable metric that engineers use to evaluate how well a vision system supports robotic accuracy, stability, and safety. Our iQ‑Lab applies these image‑quality factors to test and validate camera and sensor performance under realistic industrial conditions.
Most factors are defined by international standards that specify test methods, laboratory setups, and evaluation criteria for assessing a camera’s behavior. Whenever applicable, our testing follows these standards to ensure repeatable, comparable, and trustworthy results.
Because every robotic vision system is different, not all factors are relevant for every application. When you request a camera test or calibration through the iQ‑Lab, you can provide your system requirements, and we will recommend the most meaningful combination of factors for your specific robotics use case.
