Sergey Yuldashev, Senior Infrastructure Engineer at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Yuldashev demonstrates the Nx Metadata SDK, a powerfully simple approach to integrating AI-powered computer vision applications into the Works with Nx Ecosystem and the Powered by Nx product channel, […]
This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. Consumer biometrics is boosted by SWIR under-display face recognition and optical TFT for full-screen fingerprint sensing. OUTLINE The consumer biometric market is expected to reach US$11 billion in 2027. The future of the biometric
Biometrics: A Third Wave to Shake the Consumer Industry Read More +
Nathan Wheeler, CEO and Co-founder of Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Wheeler demonstrates how to create AI-enabled edge video devices quickly with Nx Meta and the Nx Server application, a lightweight, full-featured media server that is the engine behind some
Network Optix Demonstration of Building AI-enabled Edge Video Devices with Nx Meta Read More +
Tony Luce, Vice President of Product Marketing at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Luce demonstrates Nx Meta, the video platform used to create enterprise video software as a service solutions. With Nx Meta, companies can rapidly develop full-featured, endlessly scalable
Network Optix Demonstration of the Nx Meta Video Platform as a Service Read More +
Nick Sullivan, Researcher at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Sullivan demonstrates a version of his company’s MASE AI engine, ported to run on an automotive embedded system. Its functionality has been expanded to estimate fatigue and distraction. It is optimized
Lattice Semiconductor Demonstration of a Driver Monitoring System Read More +
This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. CMOS Image Sensor technology has been developed to serve more sensing applications in the near-infrared region, bringing a transition from imaging to sensing for new 3D functionalities. According to Yole Intelligence’s latest report, 3D
Monica Houston, Technical Marketing Manager at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Houston demonstrates a stereo facial recognition application running on Avnet’s Edge AI Development Kit. The kit is based on a production-ready SMARC module from Avnet Embedded and uses NXP’s i.MX
Avnet Demonstration of Lighting-fast Stereo Facial Recognition with NXP’s i.MX 8M Plus Read More +
13 Sep 2022 | Geneva, Switzerland, and Gothenburg, Sweden | Smart Eye, a world leader in using artificial intelligence (AI) to build technology that understands, supports, and predicts human behavior in complex environments, and STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications, today announced their cooperative development of
Susan Kennedy, Assistant Professor of Philosophy at Santa Clara University, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Ask the Ethicist: Your Questions about AI Privacy, Bias and Ethics Answered” interview at the May 2022 Embedded Vision Summit. Building ethical AI systems is a tricky business, since examining one’s
Susan Kennedy, Assistant Professor of Philosophy at Santa Clara University, presents the “Privacy: A Surmountable Challenge for Computer Vision” tutorial at the May 2022 Embedded Vision Summit. Ethical concerns about privacy come with the territory of computer vision—after all, it’s hard to deny the privacy implications when considering the digital images or videos that are
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