Project Summary

Image capture and transmission are generic technologies used in a multitude of business applications, including Health and Well-Being, Digital Life (broadcast, agriculture), Digital Industry, Security and Automotive. The CAVIAR project brings together a highly qualified and multi-disciplinary team to develop the various aspects of the technologies such as optics, image capture, video processing and transmission. This consortium combines the world class engineering and research skills required to develop and optimize the technologies for professional products, with important European players in the imaging industry with proven track records. The team consists of R&D institutes, a public university, fabless image sensor developers, and system integrators advanced in the targeted technologies and designs.
The overall goals are to improve system level image capture for medical diagnostics, sustainable agriculture, and live television productions, and to extend the functionality of professional CMOS image sensors for multiple applications. To reach these goals new image sensors will be designed and application demonstrators including new hardware and firmware/software algorithms will be developed. The consortium will collaborate on new silicon and system level developments. An international user group consisting of medical doctors, surgeons and pathologists will be setup to facilitate the exchange of information between the project and expert users in the medical field.
In all vision-based professional applications the trend in image capture is towards higher spatial and temporal resolutions, wider colour gamut and extension to infrared, higher dynamic range and improved image quality with better pixels. New and improved building blocks will be developed to drive and fill in these trends in Health and Well-Being, Digital Life, and Digital Industry.
In short, the partners will cooperate on the development of the following:

  1. Development of CMOS image sensors: infrared sensitive global shutter pixels, increased dynamic range, higher frame rates, and smaller hyperspectral pixels;
  2. New hardware and software solutions for fluorescence and high-speed 3D optical imaging, providing fast and accurate pathology imaging to shorten diagnostics turn-around times for patients;
  3. Multispectral camera for precision agriculture and food sorting, providing solutions for a sustainable agri-food industry; and
  4. Slow motion image capture and playback system for broadcast, supporting content creators to transition to UHDTV.