Computer Vision is defined as a field of study that seeks to develop techniques to help computers “see” and understand digital content such as photos and videos. Computer Vision appears simple because it is easily solved by people, even very young children. It is a challenge for computer due to the limited understanding of biological vision and because of the complexity of vision perception in a dynamic and nearly infinitely varying physical world.
Our mission is to built easy to use computer vision engine and have the machine do it for you, instead of doing it yourself.
Founded by ex-Googlers with headquarter in Silicon Valley, we focus on building an easy-to-use Vedere AI engine for Computer Vision, Autonomous navigation, and Robotics. We believe the world will be better off when each and every one of us can spend less time on mundane chores and more time thinking about how to solve the world's next challenges.
We're a passionate team of computer scientists who think we're just at the beginning of what computer vision can do. We eager to help make computer vision easy to use and at scale a reality.
A deep focus on Computer Vision allows for the highest level of understanding and precision.
Market Use Cases
Rooted in CV technology & working with leading companies to produce the best solutions.
Scalable solutions offering CV use cases to thousands of customers.
Vedere AI Engine
Here is an AI demo converting a single RGB image (left) into a 3D photo or a motion parallax video (right). A multi-layer representation for novel view synthesis that contains hallucinated color and depth structures in regions occluded in the original view. A Layered Depth Image with explicit pixel connectivity as underlying representation, and present a learning-based inpainting model that iteratively synthesizes new local color-and-depth content into the occluded region in a spatial context-aware manner.
Here is demo website incorporating many of the Vedere AI engine functionality, such as AI Image captioning, image classification, image style transfer, image tagging & search, image aesthetic rating, etc.