TOPS is a physics-based simulation for any bandwidth that exists in the market from SWIR, MWIR and LWIR sensors, which are spectral validated. They also include in the simulation the actual physics of the sensor itself, which means that if it has optical issues and different behavior from the electronics and from the signal processing points of view, that's included in the data. They claim that their simulation is fully validated including all those features and including atmospheric effects, time effects, location effects, various external effects that you can add to the system like dust, dirt. What makes them special, I asked Dor. “We actually simulate the physical properties of what is happening in the environment and in the sensor itself,” Dor explains, “which means that we minimize the gap between real and synthetic data, which is what mostly scares AI scientists and big data analysts, about using synthetic data instead of real data. The accuracy of our systems is 95%!” Validation is a very major thing in computer vision and it is crucial for this business too. Their second product is Majestic AI. It's a data as a service based on a simulation that they provide to scientists. They give validated data including scenes, different kind of scenes, behavior analysis, temporal analysis, and the like. They pride themselves with scaling the development of the AI models in such a way that it can be done much faster than with regular training, saving much money to companies. It also helps speed up the development and the go-to-market timing. Supported verticals mainly include outdoor operations from the defense market to the homeland security market like firefighting, police, etc. and also commercial markets, automatic driving, ADAS, drone inspection services for bridges, wind turbines, power plants, ambulances, Emergency Medical Services - hence a very wide spectrum of application fields. They can create validated data for very scarce events for which real data is not available. “We can create specific models that maybe no one has,” Dor boasts, “for example a car under a flood!” 32 Computer Vision News Computer Vision News From the CVPR Expo Dor Dagan is Strategy and Business Development manager at Tiltan Software Engineering. Tiltan works in simulations and synthetic data, and their focus is on simulation. Their system is called TOPS.
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