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. […]
Intel and the Bay Area Computer Vision and Deep Learning Meetup Group would like to invite you to a pair of talks taking place on the evening of Wednesday, February 13, 2019. Intel and one of its customers, Marble, will each share perspectives on the topic of navigation and robots, both from the company who
Upcoming Silicon Valley Meetup Presentations Discuss Visual Navigation in Robots Read More +
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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Mario Munich, Senior Vice President of Technology at iRobot, presents the “Intelligent Consumer Robots Powering the Smart Home” tutorial at the May 2018 Embedded Vision Summit. The Internet Of Things (IoT) has rapidly developed in the past few years, enabled by affordable electronics components and powerful embedded microprocessors, ubiquitous internet access and WiFi in the
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Mario Munich, Senior Vice President of Technology at iRobot, presents the “Roomba 980: Computer Vision Meets Consumer Robotics” tutorial at the May 2018 Embedded Vision Summit. In 2015, iRobot launched the Roomba 980, introducing intelligent visual navigation to its successful line of vacuum cleaning robots. The availability of affordable electro-mechanical components, powerful embedded microprocessors and
“The Roomba 980: Computer Vision Meets Consumer Robotics,” a Presentation from iRobot Read More +
The Embedded Vision Summit was held on May 21-24, 2018 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 2018 Embedded Vision Summit
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The Embedded Vision Summit was held on May 1-3, 2017 in Santa Clara, California, as a 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 2017 Embedded Vision Summit
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Larry Matthies, senior research scientist at the NASA Jet Propulsion Laboratory, presents the "Using Vision to Enable Autonomous Land, Sea and Air Vehicles" keynote at the May 2016 Embedded Vision Summit. Say you’re an autonomous rover and you’ve just landed on Mars. Vexing questions now confront you: “Where am I and how am I moving?”
UAVs (unmanned aerial vehicles), commonly known as drones, are a rapidly growing market and increasingly leverage embedded vision technology for digital video stabilization, autonomous navigation, and terrain analysis, among other functions. This article reviews drone market sizes and trends, and then discusses embedded vision technology applications in drones, such as image quality optimization, autonomous navigation,
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Jeff Bier of the Embedded Vision Alliance (moderator), Don Faria of Intel Capital, Jeff Hennig of Bank of America Merrill Lynch, Gabriele Jansen of Vision Ventures, Helge Seetzen of TandemLaunch, and Peter Shannon of Firelake Capital Management participate in the Investor Panel at the May 2016 Embedded Vision Summit. This moderated panel discussion addresses emerging
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.
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