Sensor to Image is the world leader in industrial camera interface IP supporting GigEVision, USB3-Vision and CoaXPress with more than 150 customers around the world.
Sensor to Image is serving the technical committees of GigEVision & USB3 vision and GenICam for more than 10 years, and coauthoring the CoaxPress standard for 5 years.
Based in Schongau (Germany), Sensor to Image GmbH is a machine vision specialist who develops and sells FPGA-based imaging and video IP Core and products. Its expertise encompasses the
GenICam,
GigE Vision,
CoaXPress,
USB3 Vision and
MIPI standards, as well as the
Xilinx and
Intel/Altera platforms.
Starting in 1989, the company has built a reputable know-how in modular PC image processing cards for industrial purposes. Its journey started with the Snofru and Giseh cards, which allowed for PC-independent evaluation of camera signals.
Since 2017, Sensor to Image is part of
Euresys and benefits from the group's global reach and extensive distribution and support network.
Today, Sensor to Image main products are
GigE Vision,
CoaXPress and
USB3 Vision IP Cores, as well as
IMX Pregius and
MIPI IP Cores. They are compatible with
Xilinx and
Intel/Altera FPGAs. They minimize camera and embedded system development time while offering high performance in a small footprint. Its Vision Standard IP Cores are certified by the AIA and the JIIA and Sensor to Image is an active member of these associations.
Sensor to Image has supplied more than 100 customers around the world in the automotive, industrial, medical, security, military and space application fields.
Sensor to Image is a member of the
Xilinx Partner Program since 2007 and an Intel Solution Partner.
The company is ISO certified since 1998. The certificates are available here:
Besides, Sensor to Image is also compliant with Regulation (EC) No 1907/2006 of the European Parliament and of the Council of 18 December 2006 dealing with the Registration, Evaluation, Authorization and Restriction of Chemicals (REACH). You can download the certificate here: