Training data with the physics of a real camera
Perception models are trained on rendered pixels but deployed behind glass and silicon. TrueScene runs your 3D scenes through the complete optical and sensor chain, so the dataset carries the flare, blur, distortion and noise your hardware will actually produce.
For ADAS, robotics and defence perception teams
Models fail on the cases renderers cannot produce
The dangerous frames are the physical ones: sun straight into the lens, headlight bloom on a wet road, a dark scene at the sensor’s noise floor. A renderer approximates these as artistic effects. PhotonCore computes them.
Glare and stray light
Ghost images and veiling glare traced through the actual lens prescription and housing, not painted on afterwards.
Low light and noise
Photon statistics, read noise and quantum efficiency modelled at the pixel – the regime where detection actually degrades.
Weather and medium
Fog, rain and atmospheric scattering applied as propagation physics, with contrast loss that matches measurement.
From 3D scene to labelled dataset
Bring your scene
Render-agnostic input. Unreal Engine is supported today, with your own scene libraries and drive logs.
Model the camera
Your real lens prescription, coatings, aperture, housing and sensor – or a candidate design you are still choosing.
Generate at scale
Cloud GPU runs sweep conditions – sun angle, weather, exposure, sensor variant – producing frames and video.
Train and compare
Ground truth travels with every frame, so you can measure what sensor-true data does to model performance.
Where sensor-true data changes the answer
ADAS & autonomy
Validate perception against sun glare, tunnel exits, headlight bloom and rain – the edge cases fleets cannot collect safely.
Robotics & Physical AI
Close the sim-to-real gap for manipulation and navigation policies that see through real optics, not perfect cameras.
Defence & ISR
Long-range detection through atmosphere, countermeasure glare and low-light conditions, on-premise where required.
Send us a scene and a lens – get sensor-true frames back
We run a pilot dataset on your camera model so you can measure the difference against your current pipeline.
