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
Competitive analysis, market research, IP portfolio analysis, patent generation and IP development
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.
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.
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.
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.
Ground-breaking text describing synthetic vision using Volume Learning (not deep learning) and Visual DNA, selected by the Visual Genomes Foundation, from DeGruyter Press.
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