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, […]
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 +
Sachin Guruswamy, Computer Vision Engineer at Luxonis, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Guruswamy demonstrates Luxonis’ innovative camera technology, which offers on-device neural network and stereo depth. He exhibits how depth perception coupled with a neural network can provide real-time spatial information, resulting
Luxonis Demonstration of Point-load ROS Visualization and Object Detection Read More +
Erik Kokalj, Director of Applications Engineering at Luxonis, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Kokalj demonstrates specialized camera technology from Luxonis, which melds on-device artificial intelligence and computer vision with stereo depth. Kokalj shows a live example of object detection that not only
Luxonis Demonstration of Real-time Object Detection Read More +
Erik Kokalj, Director of Applications Engineering at Luxonis, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Kokalj demonstrates specialized camera technology from Luxonis, which melds on-device artificial intelligence and computer vision with stereo depth. Kokalj shows how the camera captures real-time 3D coordinates of his
Luxonis Demonstration of Landmark Detection via Handtracking 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 +
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 the software-only Glance by Mirametrix solution, which uses an AI engine (MASE) running on the system-on-chip (SoC) to detect users in the scene. For the main user it, among
Lattice Semiconductor Demonstration of 3D Attention Sensing Read More +
Hussein Osman, Marketing Director at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Osman demonstrates user experiences enabled in the latest generation of a laptop, including presence detection, attention tracking and onlooker detection. Such capabilities allow devices to be instantly on for use,
This blog post was originally published at Hailo’s website. It is reprinted here with the permission of Hailo. When choosing an object detection network for edge devices, there are many factors you should consider: compute power, memory resources, and many more. Which ones? This blog post outlines everything you need to know when choosing an
Object Detection on the Edge: Making the Right Choice Read More +
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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