It starts
with the light.
Lens, optical path and image sensor. Understand what reaches the pixels before asking what the pixels can tell you.
OPTICS · SENSOR · EXPOSURESMARTSURV / HOME OF IMAGING
Better images.
Better decisions.
Your home for imaging expertise—from the first specification to the toughest series-development challenge. We turn imaging complexity into measurable progress.
Independent Imaging Assessment.
End-to-end imaging consulting & camera-system development.
Your technical partner between customer and supplier.
Independent perspective.
Engineering depth. Shared understanding.
Engineering depth. Shared understanding.
OPTICAL SYSTEM 01 / EXPLODED VIEW
OPTICS + SENSORS + ISP + FILTERSSee the whole system.
KPI-DRIVEN ENGINEERINGSpeak with data.
THE IMAGING CHAIN / ONE CONNECTED SYSTEM
Every layer.
Changes the picture.
Follow the light. Challenge the pipeline. Understand the result.
It starts
Software shapes
what you see.
ISP processing and computational filters transform the signal. Balance detail, noise, contrast and the information the task needs.
ISP · FILTERS · CALIBRATIONMake the picture
speak with data.
Connect image-quality KPIs to human vision and computer vision. Give customers and suppliers evidence they can discuss.
Explore the imaging lab ↓01 / ENGINEERING, END TO END
CUSTOMER ↔ SMARTSURV ↔ SUPPLIERThe independent voice
at your engineering table.
A camera is a system. So is its development.
Our whole-system view connects hardware—lens/optics and image sensor—with software-defined imaging: image signal processor (ISP) processing and computational imaging filters.
Specify what matters.
Translate the use case into camera-system requirements, architecture and meaningful KPIs. Connect component performance to the end task.
SPECIFICATION · KPI DEFINITION
Challenge the shortlist.
Compare suppliers on evidence, not slides. The supplier “Bachelor contest”: challenge the candidates, expose trade-offs and choose the strongest technical fit. Align customer and supplier expectations before committing to development.
BACHELOR CONTEST · SUPPLIER ASSESSMENT
SYMBOLIC ILLUSTRATIONThe supplier “Bachelor contest”.A shortlist of candidates. A decision grounded in requirements, camera tests and technical fit.
Develop for Brillant IQ.
Challenge Tier 1, 2 and 3 partners throughout series development. Mediate between OEM/customer and supplier to resolve technical disagreements with data.
SERIES DEVELOPMENT · TECHNICAL MEDIATIONYour Camera Doctor.
Diagnose camera-system problems across lens/optics, image sensor, ISP processing and computational imaging filters. Combine camera tests, signal-processing diagnostics, calibration checks and cross-party reviews in task forces to identify root causes and agree on practical next steps.
CAMERA DOCTOR · TASK FORCES02 / THE IMAGING LAB
HUMAN VISION + COMPUTER VISIONLooks good.
But does it see well?
Visual appeal and task performance ask different questions. Explore the combined effects of optical hardware, image sensor, ISP processing and computational imaging filters.
REFERENCE SIGNAL01
Brillant IQSYSTEM UNDER STRESS02
Strong IQ reductionBAD IQ · 0%CLEAR IQ · 100%
Brillant IQ is more than sharpness.
Move right to restore image quality as blur and noise decrease. At 100% IQ, the scene shows Brillant IQ. A pleasing image alone cannot establish camera-system performance.
Conceptual simulation. IQ reduction and fading region annotations are illustrative, not model outputs. No measured camera KPIs or detection scores are implied.
What is a pixel?
A pixel (picture element) is one sample in a digital image. Its values describe brightness and, in a color image, color at that location.
Sensor photosites measure light; image processing turns those measurements into image pixels. More pixels alone do not guarantee more useful detail—optics, noise and processing matter too.
Make image quality measurable.
Explore the questions behind the KPIs.
SFR / SPATIAL FREQUENCY RESPONSE↗
Do the details survive the pipeline?
Spatial frequency response describes how contrast is transferred at different spatial frequencies. Assess lens/optics, the image sensor, ISP processing and computational imaging filters as one imaging chain.
THE SYSTEM QUESTION
Which details must remain usable for a driver or a perception task, across the field of view and operating conditions?
CTA / CONTRAST TRANSFER ACCURACYIEEE P2020 · IEEE 2020-2024 standard ↗
Define KPIs for your system ↗
FROM THE SCENE TO THE SYSTEM
Image Quality for
Automotive Camera Systems
What looks convincing must also deliver usable information. Connect human vision and computer vision to the imaging task, operating conditions and the complete camera pipeline.
From lens and sensor to ISP and computational filters: define meaningful IQ KPIs, test the system and give customers and suppliers a shared basis for decisions.
Methods and acceptance limits must match the application; automotive methods do not transfer automatically across domains.
03 / BEYOND A SINGLE FIELD OF VIEW
APPLICATION-DRIVEN. SYSTEM-AWARE.Different environments.
The same pursuit of brilliance.
Start with what the system must accomplish. Then define what its imaging chain has to deliver.
FIELD OF VIEW / AUTOMOTIVE / ADAS + AD
CORE EXPERIENCE
Outside.
See the road ahead.
ADAS, automated driving and camera monitor systems. Connect exterior camera requirements to the driving task, and challenge evidence across the development chain.
- Full optical path, including windshield and cover glass
- Low light, HDR transitions, motion and degradation
- Supplier evidence that answers system-level questions
THE COMPLETE PICTURE
Beyond image quality.
Imaging signal processing and calibration connect camera hardware to usable information. We consider the processing chain, calibration methods and targets alongside perception and engineering decisions.
Imaging signal processing
ISP tuning, demosaicing, denoising, HDR/tone mapping, color correction and computational imaging filters. Balance detail, noise and task-relevant information.
Calibration & geometry
Intrinsic and extrinsic calibration, lens distortion and geometric correction. Assess repeatability and alignment across cameras and sensors.
Calibration targets
Target selection and specification: checkerboards, dot patterns and fiducial markers. Consider target geometry, print quality, illumination and capture setup for repeatable calibration.
Perception & sensor fusion
Detection, classification and tracking. Camera, depth, radar and thermal data in context.
Lifetime & degradation
Explore how optics, sensors, ISP settings and computational imaging filters affect image quality over the system’s lifetime.
Reviews & knowledge transfer
Architecture and algorithm reviews, technical mediation, focused workshops and engineering training.
SMARTSURV / HOME OF IMAGING
Ride the wave
of imaging.
Meet the SmartSurv ecosystem ↘
A FRIENDLY NETWORK. A SHARED ENGINEERING MINDSET.
CONNECTED WORLDWIDEOne ecosystem.
Many expert perspectives.
SmartSurv is built on a friendly worldwide network of experts, subject-matter specialists, partner companies and partner labs. The right people, connected around your imaging challenge.
EXPERTISE CONNECTED AROUND YOUR CHALLENGESYMBOLIC NETWORK
Experts & SMEs
Specialist knowledge for the questions that need a deeper technical view.
Partner companies
Complementary perspectives across the imaging development chain.
Partner labs
Specialist measurement expertise, aligned to the assessment question.
INDEPENDENT PERSPECTIVE. COLLABORATIVE DELIVERY.
We connect the expertise and coordinate the technical conversation. The team and assessment scope are agreed for each engagement.
04 / HOW WE WORK
COMMON GOALS. SHARED EVIDENCE.Close the gap between
“it should” and “it does”.
Trusted advisor, technical mediator and Camera Doctor. An independent view to diagnose camera-system problems, challenge the details and move the whole team forward.
Start with the task.
Clarify use cases, operating conditions, responsibilities and the decisions that need evidence.
Agree on the yardstick.
Translate requirements into KPIs, test conditions and a common technical language.
Put evidence to work.
Review suppliers, test cameras and trace behavior through lens/optics, image sensor, ISP processing and computational imaging filters.
Move development forward.
Align customer and supplier on findings, priorities and practical engineering actions.
OEM / CUSTOMERSmartSurvTECHNICAL MEDIATORTIER 1 / 2 / 3
STAY IN THE PICTURE
Keep me informed.
Occasional perspectives on image quality, camera-system engineering and what’s next at SmartSurv.
YOUR NEXT IMAGING CHALLENGE
Let’s bring your
system into focus.
A new specification, a supplier decision, or a series-development challenge. Start with the engineering question.
Let’s talk imaging ↗Opens your email app · info@smartsurv.de