Visual Genomes Foundation

Join the Exascale Visual AI initiative to sequence petabytes of Visual DNA from images using Volume Learning!

Visual AI + visual computing expertise

Technology Expertise


Visual AI,  computer vision, imaging and cameras, robotics & automation, depth sensing, forensic and expert image analysis, media cryptography



Systems design, architecture, HW/ SOC/ FPGA, software development, embedded systems, apps, libraries, optimizations for accuracy, power, performance

Business Development & IP


Competitive analysis, market research, IP portfolio analysis, patent generation and IP development

services at any level



Krig Research is a pioneer in visual AI, computer vision, machine learning, advanced imaging, and robotics systems, providing complete solutions for clients ranging across a wide range of governments and industries, world-wide. Small and large projects are welcome.



An ongoing business relationship and continued business are mutually beneficial, so every effort is made to understand your requirements and provide the best possible solution within your project parameters. Find out if Krig Research has the expertise and experience you need.



A free confidential consultation is available on request. Krig Research provides complete engineering services to complete any  visual computing project. In addition, specific projects can be executed to enhance your business via competitive market analysis, patent portfolio development, product positioning, technology briefings, and special reports.




The NeuroMatrix(tm) system contains a working model of the visual cortex of the human brain, including models of the eyes, early visual processing centers, and higher level reasoning centers. Capable of learning precise signatures of individual objects.



The NeuroTarget(tm) system locates targets in the visible  light spectrum, therefore is capable of surviving common electronic warfare countermeasures which affect radar-based systems. 

VIsual Genomes Foundation


The massive project to learn visual DNA and visual genomes from hi-res images, and provide free visual AI products and services to the public. Sponsors and members are encouraged to apply - learn more below.


Computer Vision Metrics


One of the most complete resource texts on computer vision. Download a complimentary copy of the 500 page classic from the Embedded Vision Alliance or APRESS.

Textbook Edition


The classic 653-page textbook edition in English from Springer-Verlag has also been translated into Chinese, updated with a comprehensive survey of deep learning, DNNs, RNNs, and historical computer vision background.

Synthetic Vision using Volume Learning and Visual DNA


Ground-breaking text describing synthetic vision using Volume Learning (not deep learning) and Visual DNA, selected by the Visual Genomes Foundation, from DeGruyter Press.

Learn more


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