Monica Houston, Technical Solutions Manager at Avnet, presents the “Selecting Image Sensors for Embedded Vision Applications: Three Case Studies,” tutorial at the May 2023 Embedded Vision Summit. Selecting the appropriate type of image sensor is essential for reliable and accurate performance of vision applications. In this talk, Houston explores some of the critical factors to […]
Peter Fenn, Director of the Advanced Applications Group at Avnet, presents the “Battery-powered Edge AI Sensing: A Case Study Implementing Low-power, Always-on Capability” tutorial at the May 2023 Embedded Vision Summit. The trend of pushing AI/ML capabilities to the edge brings design challenges around the need to combine high-performance computing (for AI/ML algorithms) with low
Avnet offers compact sensor module and development kit for always-on sensing March 7, 2023 – PHOENIX – The RASynBoard development kit from Avnet (Nasdaq: AVT) can help hardware and software design engineers and embedded AI developers quickly adopt edge AI capabilities into their products, making them more efficient, accurate and reliable. It was created in
RASynBoard Brings Low-power, Edge AI Processing to Embedded Sensor Applications Read More +
Dirk Seidel, Strategic Business Development Manager at Renesas Electronics, demonstrates the company’s latest edge AI and vision technologies and products at the December 2022 Edge AI and Vision Innovation Forum. Specifically, Seidel demonstrates the company’s MPU RZ/V series solutions, along with partner (and fellow Alliance Member) Avnet’s RZ/V2L single-board computer (SBC). The RZ/V series includes
Jason Lambert, Embedded Software Engineer at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Lambert demonstrates various features of RZBoard, a new AI development board in a Raspberry Pi-type form factor. The RZ/V2L processor on this board includes advanced features such as a DRP-AI
Avnet Demonstration of Vision AI Acceleration Using the Renesas RZ/V2L Processor Read More +
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 +
Tom Curran, Senior Technical Marketing Engineer at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Curran demonstrates Avnet’s new ZUBoard 1CG, a low-cost, flexible development platform for AMD’s new Zynq Ultrascale+ ZU1CG MPSoC device. The ZUBoard is running a face detection application, leveraging both
Monica Houston, Technical Solutions Manager at Avnet, presents the “Jumpstart Your Edge AI Vision Application with New Development Kits from Avnet” tutorial at the May 2022 Embedded Vision Summit. Choosing the right processing solution for your embedded vision application can make or break your next development effort. This presentation introduces three next-generation embedded vision platforms
Adam Taylor, Founder and Principal Consultant at Adiuvo Engineering and Training, along with Dan Rozwood, Engineer, and Kevin Keryk, Software Engineering Manager and Machine Learning Specialist, both of Avnet, present the “Accelerating Time to an Image Processing Prototype” tutorial at the September 2020 Embedded Vision Summit. In this Over-the-Shoulder session, you will learn how you
“Accelerating Time to an Image Processing Prototype,” a Presentation from Avnet Read More +
Mario Bergeron, Technical Marketing Engineer at Avnet, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Bergeron explains how the Xilinx reVISION stack was used to target a sensor fusion algorithm on the Avnet PicoZed Embedded Vision Kit. Written entirely in C/C++, the image fusion algorithm was
Avnet Demonstration of Sensor Fusion Acceleration Using the Xilinx reVISION Stack 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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