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Practical AI and computer vision technology is being developed for systems that span virtually every application, and many of these application areas will experience huge growth rates. With trendsetting products demonstrating what is possible, system designers have discovered that the suppliers of computer vision technology have removed the barriers to building practical computer vision systems—unleashing a huge wave of innovation for new products and applications.

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“Shifts in the Automated Driving Industry,” a Presentation from AImotive

László Kishonti, CEO of AImotive, presents the "Shifts in the Automated Driving Industry" tutorial at the May 2019 Embedded Vision Summit. 2018 will have a lasting effect on the self-driving industry, as key stakeholders have turned from the unattainable goal of full autonomy by 2021 to more realistic development and productization roadmaps. This will in

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May 2019 Embedded Vision Summit Slides

The Embedded Vision Summit was held on May 20-23, 2019 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2019 Embedded Vision Summit

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Intel Neural Compute Stick 2 for Medical Imaging

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Intel has been an integral part of hospital technology for almost 50 years. From desktop computers to MRI scanners, diagnostic monitors, and even portable X-Ray machines, we have been at the forefront of healthcare transformation. So it

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Intel Demonstration of RealSense Cameras for Visual Navigation of Wheeled Autonomous Robots

Roy Karunakaran, Director of Marketing for RealSense at Intel, delivers a product demonstration at the January 2019 Vision Industry and Technology Forum. Specifically, Karunakaran demonstrates the use of the Intel® RealSense™ Cameras T265 and D435 in wheeled autonomous robots. The RealSense Camera T265 is used to enable Visual SLAM, while the D435 enables obstacle avoidance.

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Multi-sensor Fusion for Robust Device Autonomy

While visible light image sensors may be the baseline "one sensor to rule them all" included in all autonomous system designs, they're not necessarily a sole panacea. By combining them with other sensor technologies: "Situational awareness" sensors; standard and high-resolution radar, LiDAR, infrared and UV, ultrasound and sonar, etc., and "Positional awareness" sensors such as

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Mercedes-Benz, NVIDIA to Create New AI Architecture for Mercedes Vehicles

NVIDIA’s Jensen Huang, Mercedes’ Sajjad Khan unveil vision for software-defined AI cars integrating self-driving, intelligent cockpits. Mercedes-Benz announced today it has selected NVIDIA to help realize its vision for next-generation vehicles. Speaking to a packed crowd at the Mercedes-Benz booth on the first day of CES 2019, Mercedes-Benz Executive Vice President Sajjad Khan and NVIDIA

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Using Calibration to Translate Video Data to the Real World

This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. DeepStream SDK 3.0 is about seeing beyond pixels. DeepStream exists to make it easier for you to go from raw video data to metadata that can be analyzed for actionable insights. Calibration is a key step in this

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May 18 - 21, Santa Clara, California

The preeminent event for practical, deployable computer vision and visual AI, for product creators who want to bring visual intelligence to products.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

1646 North California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
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