Build on compatible equipment
Reuse supported RAW-capable cameras where an appropriate calibration profile is available.
Calibration-aware camera luminance
Turn RAW captures into measurable light.
Convert supported captures from calibrated cameras into engineering luminance maps in cd/m²—ready for false-colour inspection, regional measurements, cross-sections and direct comparison.
Built for rapid engineering analysis—not as a substitute for type-approval equipment.
CALIBRATED LUMINANCE FIELD
cd/m²Quantitative pixel data
Measure beyond the photograph
Inspect the underlying luminance field instead of relying on exposure-dependent presentation images.
Keep the capture auditable
Retain exposure metadata, calibration context and saturation checks with the engineering result.
From exposure to evidence
A focused workflow, not another measurement bottleneck.
Capture, convert and analyse within one engineering path while keeping the calibration conditions visible.
01
Capture supported RAW
Retain linear sensor data and exposure metadata from a compatible, calibrated camera and lens combination.
02
Apply the calibration profile
Normalise exposure, correct lens falloff and apply camera-specific luminance and colour calibration.
03
Measure the light field
Load the resulting floating-point map for false colour, ROI statistics, cross-sections and comparison.
SUPPORTED INPUTS
CR2 · CR3 · DNG
Actual quantitative performance depends on the validated camera profile, lens, capture setup and reference procedure.
Engineering outputs
Go beyond a photograph of the lamp.
Quantitative regions
Compare mean, minimum, maximum and variation over selected areas.
Luminance cross-sections
Inspect gradients, transitions, peaks and falloff across physical distance.
Repeatable comparison
Evaluate captures through a common analysis workflow with fixed display scaling.
Clipping awareness
Flag saturated sensor regions that could invalidate peak-luminance interpretation.
Practical commercial value
Add lighting-performance insight without starting from zero.
Where suitable RAW-capable cameras are already available, the additional hardware requirement can be limited. The value comes from adding a calibrated capture procedure and a quantitative analysis layer to an existing imaging workflow.
This makes luminance information useful as an engineering and benchmarking aid while dedicated laboratory systems remain the reference for formal validation.
CALIBRATION BOUNDARY
The camera is only one part of the measurement chain.
Reliable results require a validated camera-and-lens profile, reference measurements, controlled exposure, flat-field correction and checks for saturation. Ray Explorer keeps these requirements explicit; it does not claim that an arbitrary RAW file is automatically a calibrated measurement.
Technical demonstration
See the workflow on a representative capture.
A short demonstration can show the conversion process, measurement tools and integration possibilities without requiring the wider Ray Explorer suite.
vitor.santiago@rayexplorer.com Vitor Santiago · Automotive Lighting Engineer & Software Developer