Automotive Camera Testing
Objective Results to IEEE-2020

Automotive Camera Testing - Modern vehicles see the road through a growing number of exterior cameras. Front cameras read lane markings, traffic signs, and pedestrians; surround-view and parking cameras stitch a seamless picture around the vehicle; rear and corner cameras feed cross-traffic and blind-spot functions. Every one of these systems makes safety-relevant decisions from the image it captures, so the quality of that image is never just a specification, it is a question of how reliably the vehicle perceives its environment. For years, the automotive industry assessed that image quality with a patchwork of in-house methods and adapted consumer-camera metrics. With IEEE 2020, the industry finally has a common language: a standardized suite of objective and subjective test methods, defined specifically for automotive cameras and agreed across OEMs and suppliers. This is where our iQ-Lab comes in. We test exterior automotive cameras against the methods and metrics of IEEE 2020 and report results you can act on, whether you are choosing a sensor, validating a supplier delivery, or benchmarking your own design against the field.

Modern vehicles see the road through a growing number of exterior cameras. Front cameras read lane markings, traffic signs, and pedestrians; surround-view and parking cameras stitch a seamless picture around the vehicle; rear and corner cameras feed cross-traffic and blind-spot functions. Every one of these systems makes safety-relevant decisions from the image it captures, so the quality of that image is never just a specification, it is a question of how reliably the vehicle perceives its environment.

For years, the automotive industry assessed that image quality with a patchwork of in-house methods and adapted consumer-camera metrics. With IEEE 2020, the industry finally has a common language: a standardized suite of objective and subjective test methods, defined specifically for automotive cameras and agreed across OEMs and suppliers.

This is where our iQ-Lab comes in. We test exterior automotive cameras against the methods and metrics of IEEE 2020 and report results you can act on, whether you are choosing a sensor, validating a supplier delivery, or benchmarking your own design against the field.

Image quality data is only as useful as it is trusted. As an independent test house, and an active member of the IEEE-P2020 working group, our iQ-Lab sits deliberately between the OEM and the supplier, with no stake in the outcome other than getting the measurement right.

That neutrality is the product. A supplier can prove that delivered hardware meets the manufacturer's requirements with a report neither side wrote. A manufacturer can compare sensors and modules from competing vendors on identical, standard-based terms. Both sides keep the results confidential, shared only between Image Engineering and the customer.

We deliver this through camPAS (Camera Performance for Automotive Systems) — our customizable automotive test program.

camPAS is not an off-the-shelf checklist: we design the test around your specifications and use case, draw on the methods of IEEE 2020, and hand back objective KPIs your engineers can build decisions on.

Choose the right sensor or module from a crowded field. We run identical, standard-based tests across candidates so your selection rests on objective performance data, not vendor datasheets.

Validate before you ship. We characterize your camera or sensor during development and before delivery, flag image quality issues early, and give you the evidence to prove your hardware meets the manufacturer's KPIs.

Results stay between you and us. Tests follow recognized methods — above all IEEE 2020 — so the numbers mean the same thing to everyone at the table.