Sensor system manufacturer FLIR Systems, Inc., and CVEDIA PTE. Ltd., Inc. announced that FLIR has made a strategic investment in CVEDIA, developer of machine learning applications that are used to efficiently enable sensor systems with artificial intelligence.
CVEDIA’s SynCity simulator software tool is designed to enable autonomous system OEMs and related sensor makers to train their systems in a faster, safer, and more affordable manner. CVEDIA says it has developed SynCity to feature real-world physics, simulate various lighting and environmental conditions, and render objects such as people, animals, and vehicles so that artificial intelligence systems interpret them as real and lifelike. This is intended to produce high-quality datasets that are fed into customer neural network frameworks to shorten the time it takes and ease the process of training deep learning systems.
The investment is meant to create opportunities for the companies to accelerate the development of thermal spectrum-based deep learning training tools for use by FLIR and selected partners in integrating artificial intelligence into FLIR sensors and systems. FLIR’s thermal imaging sensors are used for detecting living beings, seeing at night and through adverse environmental conditions, and for identifying industrial process abnormalities.
“This investment in CVEDIA will enhance our ability to innovate sensing solutions that enable our customers to more quickly and accurately make their mission-critical decisions,” said James Cannon, President and CEO of FLIR. “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.”