Hikvision

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.

Buzz Solutions provides a software platform powered by Artificial Intelligence, Actionable Insights and Predictive Analytics for faults and Anomaly Detection for power line inspection process for power utilities. Our platform automates the process of storing and organizing visual data (captured in the field through drones and helicopters), analyzing for faults using our AI algorithms, mapping the data and providing heat maps as well as predictive insights for when, where and what kind of faults are happening on power line and assets. Using our solutions, power utilities save over 50% of cost and time to analyze data which makes condition based maintenance efforts easier and time efficient, thus, preventing wildfires, power outages and other climate change effects on the physical infrastructure of the grid. We are disrupting the electrical grid by making it much smarter and efficient using the power of AI and automation.

SoftWear Automation is an Atlanta, Ga. based company with the sole focus of developing innovative core technologies and products for the apparel manufacturing and sewn products industries by harnessing its experience and expertise in machine vision, robotics, and computing. SoftWear expects its technology will lead the conversion of labor-intensive industries to ones that are capital intensive and economical.

CynLr is a visual object intelligence platform that enables industrial robotic arms to see, understand and manipulate any object in random unstructured environments