VISARD™ - VIdeo Synthesis And Real-time Dynamics is an Artificial Intelligence and Deep Learning software framework, that is designed for Synthesizing, enerating and transforming real world videos for various applications.
VISARD platform hosts distinguishable features which are built using various deep networks such as Cycle GAN, Conditional GAN and variants of them to achieve the desired Video transformation and deep learning generative models to render realistic videos.
The autonomous vehicles have a dedicated control and management unit which relies further on trained ML/DL systems that can detect neighbouring vehicles, lanes, traffic signs. These intelligent systems need to be thoroughly trained and tested.
VISARD™ allows us to generate new synthetic data and scenarios which helps us to generate countless scenarios which involves various traffic conditions, weather conditions and terrains. This will reduce the manual data collection/generation by a great level.
The smart text-to-video creation feature of VISARD™ will allow the car makers to simulate and test their systems(cars) in various conditions thereby greatly reducing the effort and time required to gather large amount of data.