This blog post was originally published at Avnet’s website. It is reprinted here with the permission of Avnet. The MCU is a low-power, flexible and highly integrated device. It has inspired many peripherals, from clocks to timers, as well as data conversion and power management. Most MCUs incorporate plenty of general-purpose interfaces (GPIO), along with […]
Modernizing Automotive Interfaces Read More +
05/09/2024 – PHOENIX – Avnet’s exhibit plans for the 2024 Embedded Vision Summit include new development kits supporting AI applications. The summit is the premier event for practical, deployable computer vision and edge AI, for product creators who want to bring visual intelligence to products. This year’s Summit will be May 21-23, in Santa Clara, California. This
Avnet to Exhibit at the 2024 Embedded Vision Summit Read More +
This blog post was originally published at Avnet’s website. It is reprinted here with the permission of Avnet. Autonomous mobile robots (AMRs) are revolutionizing industries such as manufacturing, logistics, agriculture, and healthcare by performing tasks that are too dangerous, tedious, or costly for humans. AMRs can navigate complex and dynamic environments, communicate with other devices
Navigating the Future: How Avnet is Addressing Challenges in AMR Design Read More +
01/04/2024 – PHOENIX – Avnet (Nasdaq: AVT), a leading global technology distributor, has entered into a distribution agreement with Syntiant, a leader in edge AI deployment. The partnership aims to combine Syntiant’s innovative hardware edge AI solutions with Avnet’s extensive distribution capabilities, potentially accelerating the adoption of AI technologies across various sectors. Syntiant’s Neural Decision Processors bring ultra-low-power advanced sensing and decision-making
Monica Houston, Advanced Application Group AI/ML team manager at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Houston demonstrates Avnet’s Edge AI Kit, which provides stereo vision capabilities that help ensure facial recognition is accurate and secure, in action. Houston also explains what’s included
Evan Stoddard, Advanced Applications Group Embedded Software Engineer at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Stoddard demonstrates Avnet’s RZ board for energy-efficient AI acceleration, featuring the Renesas RZ/V2L processor. In the demo, various AI/ML models are executed on the energy-efficient DRP-AI accelerator
Peter Fenn, Advanced Applications Group Director at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Fenn demonstrates why Avnet’s compact, embeddable RASynBoard module is an ideal solution for battery powered, edge-AI applications requiring always-on sound and sensor fusion processing. Based on the Syntiant NDP120
Avnet Demonstration of RASynBoard, a Low-power, Always-on, Edge AI Smart Sensor Module Read More +
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 +
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