CynLr

Veo Robotics is transforming manufacturing with products that incorporate advanced computer vision, 3D sensing, and AI. Their first product lets high-performance industrial robots work collaboratively with people to enable much more flexible, productive, and efficient manufacturing workcells.

Industry 4.0 has a blind spot: Human beings. It turns out that people still perform up to 90% of factory tasks. Even in an age of robotics and IIoT, people are the main contributor to value-and, alas, to variability. Unfortunately, techniques for measuring human effectiveness haven't materially changed in a century. They remain manual and impossible to perform at scale. People are effectively invisible to analytics. Drishti (Sanskrit for "vision") solves this problem using what may be the world's first commercial application of action recognition to digitize human activities on the assembly line. Drishti creates a massive new dataset that enables true Digital Transformation for manufacturers while simultaneously making line workers more competitive against automation. Our mission is to "extend human potential in an increasingly automated world", starting with this 100-year-old problem in the $12T global manufacturing industry.

Pioneered in large data centers, Deep Learning-powered computer vision is now being deployed across a variety of embedded platforms such as drones, robots, IoT smart cameras and cars. These devices require computer vision capabilities that run at the edge, in real-time and enable long battery life. Deep Vision is meeting these needs with a completely new approach to processors and software. Our unique vision-specific processor is faster and more power efficient than GPU and DSP processing for modern computer vision problems. Coupled with a full stack of low power and real time deep learning computer vision software, our system gives small devices like drones, robots, and IOT cameras the ability to have embedded computer vision.