AI and visual computing for embedded applications
The videantis solutions enable high-performance and low-power deep learning and visual computing applications.
videantis helps customers to integrate deep learning, computer vision, image processing, and video coding into embedded systems.
Over the past few years, deep learning has gone from a niche technology being worked on in research labs to a must-have new technology for next-generation smart systems. videantis offers a range of visual computing solutions for these high-growth markets.
videantis plays a key role in automotive, with millions of videantis-enabled cars already on the road. Its solutions increase safety and enhance the driving experience.
Augmented & virtual reality
Combining computer vision and deep learning to accurately track the position of the head mounted display, hands, recognize objects, and much more.
Drone & digital camera
Increasing picture quality using object recognition, segmentation, and computational photography. Drones use deep learning to become autonomous.
Many new applications are adopting cameras and deep learning: wearables, consumer robotics, smart toys, and of course IoT devices.
Gaming is becoming fully immersive, higher-quality, and is including new sensors that use computer vision to further enhance the experience.
Mobile and tablet
Phones and tablets have several cameras and high-resolution displays. This requires a high-performance AI system that can efficiently process the images.
Data centers are adding accelerator hardware to efficiently process video and analyze images. Robots in industry 4.0 applications use AI everywhere.
Set-top box & TV
videantis coding and vision computing solutions deliver high resolution with high dynamic range (10-bit) using the latest standards.
videantis combines video content analysis with video coding on a single architecture, an ideal basis for building security solutions that include embedded vision.
Beating hardwired solutions in both power and performance,
while remaining fully software programmable.
The v-MP6000UDX processor runs the most demanding neural networks in real-time, at very low power, and in a extremely small silicon footprint.
Whether it’s deep learning, computer vision, imaging, or video coding, all software is developed using the same single programming toolsuite.
videantis' driver assistance and autonomous mobility solutions adhere to automotive standards and practices. Millions of vehicles already use videantis' technology.
We learned many new insider tips and tricks which enabled us to achieve a much higher level of optimization of several of our core algorithms.
a Volkswagen subsidiary
We’re excited to bring our extensive portfolio of vision functions to the videantis processor architecture and jointly work together to fulfill our customer’s needs.
videantis is providing an architecture that can run all the visual computing tasks that a typical embedded vision system needs, while meeting stringent power, performance, and cost requirements
The Linley Group
By enabling the deployment of deep learning as well as conventional computer vision algorithms, processors like the v-MP6000UDX are making the promise of more intelligent devices a reality.
Edge AI and Vision Alliance
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