VedereAI
Computer Vision
Endless Possibilities
Computer Vision trains machines to "see", interpret and understand the visual world. Use cases that leverage visual data to train neural networks are growing tramendously - from edge applications in computational photography on smartphones, robotics & autonomous driving vehicles, to enterprise applications in healthcare & safety. Computer vision holds great promise for organizations around the world to introduce innovative solutions and disrupt all the industries.
ABOUT
Our mission is to help businesses drive and leverage AI and machine learning strategies and development for growth.
Founded by ex-Googlers with headquarter in Silicon Valley, we incorporate AI-driven solutions into business operations where they can bring tangible value, particularly in Computational Photography in consumer electronics, Autonomous driving, Robotics, and other intelligent applications. 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 applications at scale a reality.
10+
Industry Expertise
A deep focus on Computer Vision allows for the highest level of understanding and precision.
100+
Market Use Cases
Rooted in machine learning technologies & working with leading companies to produce the best solutions.
1,000+
Universal Access
Scalable solutions offering practical AI use cases to thousands of customers.
Vedere AI Services
Autonomous Driving
VedereAI has built a full stack autonomous vehicle which is able to steer autonomously on steep and curvy mountain roads using only cameras without HD maps, LiDAR, or radar. We applied our technologies throughout the entire AV stack, including semantic segmentation for object categories, vision depth prediction, pedestrian intent modeling, and automation of HD mapping.
Computational Photography
Using machine learning techniques, AI software can bring out details from images shot in low-light photography, blurring background in Portrait photos, apply image stabilization to reduce blurriness and capture sharpest photos. Using AI machine guided composition and aesthetic rating, it can also guide the consumers to take extraordinary photos.
Automation
AI vision driven automation is the key to success in this era of technological competition. Enterprises is adopting this technology to make their business process run efficiently, help cut down the cost and supervision. We work towards amplifying human-machine collaboration to address the complex business problem. Our approach enables enterprises to deliver multi-fold productivity improvements and elevate the customer experience.
Robotics
The use of robotics to enable humans to do their jobs better, faster or more precisely is set to bring huge benefits in many fields. Built on a foundation of core skills, including kinematics, dynamic modeling, real-time control and sensor fusion. This enables us to deliver outstanding custom solutions for deployments in new areas.
Demo
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.
AI Blog
AI Frontiers: Rethinking intelligence with Ashley Llorens and Ida Momennejad
Powerful large-scale AI models like GPT-4 are showing dramatic improvements in reasoning, problem-solving, and language capabilities. This marks a phase change for artificial intelligence—and a signal of accelerating progress to come. In this Microsoft Research Podcast series, AI scientis ...
21 nonprofits join our first generative AI accelerator
Learn about the nonprofits joining our newest accelerator focused on generative AI.Read More
3 insights from nonprofits about generative AI
We’re sharing a few insights from a survey with nonprofits about how they’re using generative AI.Read More
Software Developers Launch OpenUSD and Generative AI-Powered Product Configurators Built on NVIDIA Omniverse
From designing dream cars to customizing clothing, 3D product configurators are ringing in a new era of hyper-personalization that will benefit retailers and consumers. Developers are delivering innovative virtual product experiences and automated personalization using Universal Scene Description (a ...