The Embedded Vision Summit was held on May 16-19, 2022 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 2022 Embedded Vision Summit […]
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This video was originally published at Oculi’s YouTube channel. It is reprinted here with the permission of Oculi AR and VR technologies are hot new trends, with both driving the demand for face detection and face recognition technologies across many industries. Camera distortion, background noise, insufficient storage, and improper techniques are among the main challenges
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This blog post was originally published at Network Optix’ website. It is reprinted here with the permission of Network Optix. In this article we’re going to take a look at Edge computing and how Nx Meta can help your organization rapidly develop full-stack AI-enabled video management applications. First: The Opportunity One of the largest emerging
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In this video, you’ll see how AI technology can be used to identify faces using the MAX78000EVKIT from Maxim Integrated (now part of Analog Devices), along with a camera and display. This face identification demonstration, shown by Erman Okman and Gorken Ulkar, members of the technical staff at Maxim Integrated, implements an energy-efficient convolutional neural
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Luke Faubion, Traffic Solution Director at LAON PEOPLE, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Faubion demonstrates traffic analysis using the company’s deep learning solution. The traffic analysis program Faubion demonstrates doesn’t require installing a new IP camera. LAON PEOPLE’s AI solution provides vehicle,
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SYDNEY, Nov. 29, 2021 /PRNewswire/ — Xailient announced the world’s most power-efficient Face Recognition AI, which runs on the IMX500, the world’s first intelligent vision sensor with edge AI processing capability from Sony Semiconductor Solutions Corporation (“Sony”). Xailient’s Face Recognition enables high-speed edge AI processing with low-power consumption using Sony’s IMX500 – a chip so
Todd Vierra, Director of Customer Engagements at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Vierra demonstrates how the company’s Akida event-based neural processor (NPU) solves problems at the edge. Utilizing BrainChip’s Akida NPU, you can leverage advanced neuromorphic computing as the engine for
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Zafer Diab, Director of Product Marketing at Synaptics, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Diab demonstrates smart video conferencing on the edge in partnership with Pilot.ai. Enhancements in AI processing capabilities on edge devices are enabling a richer video conferencing experience. These capabilities
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The Embedded Vision Summit was held online on May 25-28, 2021, 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 PDF form. To… May 2021 Embedded Vision Summit
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Jamie Campbell, Product Marketing Manager for Embedded Vision IP at Synopsys, presents the “Case Study: Facial Detection and Recognition for Always-On Applications” tutorial at the May 2021 Embedded Vision Summit. Although there are many applications for low-power facial recognition in edge devices, perhaps the most challenging to design are always-on, battery-powered systems that use facial
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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