Tap into the Internet of Things (IoT) to analyze and display real-time data from sensors and devices. Understand and discover the hidden patterns and trends in your massive datasets by applying spatiotemporal analytics that utilizes distributed computing.
Our solution displays the scene in real time through 3D animation and charts, and provides user interaction interfaces and simulation functionalities in a gamification environment. This solution realistically visualizes the real world to support the user's decision.
Building computer vision systems that use synthetic data is a transformative shift from ones that use real data. While real-world data requires painstaking collection and annotation, a synthetic dataset can be constructed in a matter of minutes by a single machine learning (ML) engineer, enabling a rapid, data-centric development cycle.
We can render the training data from synthetic objects only. To cover all cases in real world, we randomize the properties of our simulation to create a distribution over data randomizing lights, camera, shapes, textures and so on.
We develop web applications for product 3D configuration, user can configure any part or area of the product that needs new materials, textures or colours in a simple and intuitive way.
The 3D web configurator is a tool that allows a potential customer to customize and visualize the product, directly on his browser. User can choose all the possible compositions and combinations of the selected product.
We develop dedicated 3D desktop and mobile applications for the exploration and visual analysis of scientific data through real-time and immersive interactions, advanced visualization technologies and computational tasks.
We believe that 3D direct-manipulation techniques for interactively controlling visualization tools will provide opportunities for powerful and useful interfaces with which scientists can more effectively explore their datasets.