CVEDIA’s SynCity simulator software tool provides ultra-realistic, multi-modal, digital environments for autonomous system OEMs and related sensor makers to train their systems in a much faster, safer, and more affordable manner than by utilizing traditional data collection techniques. CVEDIA has developed SynCity to feature real-world physics; simulate a multitude of lighting and environmental conditions; and render 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, materially shortening the time and easing the process of training these deep learning systems.
The strategic investment by
“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
Founded in 1978 and headquartered in
CVEDIA is committed to solving their clients’ diverse sets of challenges, providing services including simulation, data management, system integration, and AI algorithm development. CVEDIA’s simulation platform – SynCity – generates photorealistic, labeled 3D worlds, and sensor modelling, recreating everyday scenarios and edge cases for training, testing, and validating machine learning algorithms across multiple domains. For more information, please visit www.cvedia.com.
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