Overview
We develop customized concepts for image quality testing | Not every image quality challenge fits a standard test setup. Novel sensor technologies, unusual optics, demanding use cases and emerging applications often raise questions that no existing chart, light source or standard answers on its own. That is exactly where an Image Quality Concept comes in. An Image Quality Concept is a structured investigation carried out by our iQ-Lab engineers. We take your specific testing problem, explore it in depth, and research whether, and how , it can be solved under controlled laboratory conditions. The result is a clear, documented concept that defines the relevant key performance indicators, the proposed test setups and the open questions still to be resolved. We recommend this step whenever a problem is too uncommon or too complex for one of our standard, off-the-shelf solutions. Rather than committing to equipment or an extensive test programme straight away, you start with a focused concept that maps out the path to a reliable, repeatable measurement. Explore the problem: we analyse your application, devices and goals to understand what really needs to be measured. Research a solution: we identify the metrics, standards, charts and illumination that could characterise it in the lab. Document the path forward: you receive a concept report with proposed setups, identified risks and recommended next steps.
We build taylor made Image Quality test Concepts | Not every image quality challenge fits a standard test setup. Novel sensor technologies, unusual optics, demanding use cases and emerging applications often raise questions that no existing chart, light source or standard answers on its own. That is exactly where an Image Quality Concept comes in. An Image Quality Concept is a structured investigation carried out by our iQ-Lab engineers. We take your specific testing problem, explore it in depth, and research whether, and how , it can be solved under controlled laboratory conditions. The result is a clear, documented concept that defines the relevant key performance indicators, the proposed test setups and the open questions still to be resolved. We recommend this step whenever a problem is too uncommon or too complex for one of our standard, off-the-shelf solutions. Rather than committing to equipment or an extensive test programme straight away, you start with a focused concept that maps out the path to a reliable, repeatable measurement. Explore the problem: we analyse your application, devices and goals to understand what really needs to be measured. Research a solution: we identify the metrics, standards, charts and illumination that could characterise it in the lab. Document the path forward: you receive a concept report with proposed setups, identified risks and recommended next steps.
Not every image quality challenge fits a standard test setup. Novel sensor technologies, unusual optics, demanding use cases and emerging applications often raise questions that no existing chart, light source or standard answers on its own. That is exactly where an Image Quality Concept comes in.
An Image Quality Concept is a structured investigation carried out by our iQ-Lab engineers. We take your specific testing problem, explore it in depth, and research whether, and how, it can be solved under controlled laboratory conditions. The result is a clear, documented concept that defines the relevant key performance indicators, the proposed test setups and the open questions still to be resolved.
We recommend this step whenever a problem is too uncommon or too complex for one of our standard, off-the-shelf solutions. Rather than committing to equipment or an extensive test programme straight away, you start with a focused concept that maps out the path to a reliable, repeatable measurement.
Explore the problem: we analyse your application, devices and goals to understand what really needs to be measured.
Research a solution: we identify the metrics, standards, charts and illumination that could characterise it in the lab.
Document the path forward: you receive a concept report with proposed setups, identified risks and recommended next steps.
Why start with a Concept
A concept is a small, deliberate first step that protects your bigger decisions.
Reduced Risk
Validate First
Right Investment
Lab Expertise
Tap into our metrology know-how, standards knowledge and custom chart and illumination capabilities.
From Concept to Confidence
Each stage builds on the last, so you only move forward once the previous step has earned it.
Step 1: Image Quality Concept
Step 2: Proof of Concept
Step 3: Testing & Equipment
With a proven approach in hand, you move on with confidence, extensive characterisation in our iQ-Lab, or the right Image Engineering equipment for testing in-house.
Example Concepts
Medical · Smartphone Imaging
Dermatology Texture Measurement
How do you measure fine-detail reproduction of a smartphone-and-dermascope combination at extreme close focus, where standard targets are simply too large?
We explored target materials, reproduction ratios and illumination, and identified a custom transmissive dead-leaves target as the only viable route to a reliable texture measurement.
➤ Texture reproduction to ISO/TS 19567-1
➤ Custom high-resolution target concept
➤ Proof of concept and subsequent tests
Industrial · Light Sources
Compact Production-Line Illumination
Can a multispectral calibration light source be made compact enough to retrofit onto space-constrained camera production lines without losing uniformity?
We investigated fibre-coupled iQ-LED setups, evaluating intensity and homogeneity across several configurations to find the most promising route to a small, high-quality output.
Spectrally tunable, uniform output
Intensity and homogeneity validated in lab
Clear direction for prototype development
Semiconductor · Automated Inspection
Wafer Defect Inspection
Can a camera-based system reliably detect and classify cosmetic defects on wafers, and what optical and imaging requirements does that demand?
In a Phase 1 feasibility study we derived the optical, mechanical and data-processing requirements from concrete image-quality KPIs, and mapped which defect types a camera-based setup can reliably resolve.
Requirements set by resolution, signal-to-noise ratio and contrast
Defect detectability and classification across visibility tiers
Technical foundation for a full inspection system
