Flir Systems has made a strategic investment in Cvedia, a software company that helps users develop machine learning applications.
Cvedia provides solutions that transform raw images into training sets for deep learning algorithms. Its SynCity simulator platform is a virtual test bed that allows users to train, validate and verify machine learning algorithms, largely for building autonomous systems.
Flir wants to use Cvedia’s technology to develop thermal spectrum-based deep learning training tools for integrating artificial intelligence into Flir sensors and systems.
The investment will also provide Cvedia with growth capital to enable it to expand its business.
SynCity features real-world physics; simulates a multitude of lighting and environmental conditions; and renders objects such as people, animals, and automobiles in a manner that artificial intelligence systems interpret them as real and lifelike. This produces high-quality datasets that are fed into customer neural network frameworks, shortening the time and easing the process of training these deep learning systems.
James Cannon, president and CEO of Flir, commented: ‘The addition of software algorithms that automatically inform a user or system of critical information is a valuable feature that augments the distinctive and rich data our sensors produce. We see wide applicability of these tools in our innovation of highly advanced solutions, and we look forward to the collaboration with the Cvedia team.’
