This blog post was originally published at Plumerai’s website. It is reprinted here with the permission of Plumerai. The Plumerai People Detection AI fits on almost any camera with its tiny footprint of 1.5MB. It outperforms much larger models on accuracy, and achieves 13.6 frames per second on the RA8’s Arm Cortex-M85. Familiar Face Identification […]
This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. Vision AI – or computer vision – refers to technology that allows systems to sense and interpret visual data and make autonomous decisions based on an analysis of this data. These systems typically have camera sensors for
Can Your Vision AI Solution Keep Up with Cortex-M85? Read More +
Renesas’ Arm® Cortex®-M85 Processor-Based Devices Offer Ultra High Performance, Graphics Capabilities and Leading-Edge Security for Building Automation, Smart Home, Consumer and Medical Applications December 12, 2023 ― TOKYO, Japan ― Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced the RA8D1 microcontroller (MCU) group. The RA8D1 group is the second in
Michael Kosinski, Senior Embedded Software Engineer at Renesas Electronics, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kosinski demonstrates Renesas’ Winning Combination PoC (Proof of Concept), designed to deliver a low-power AI solution for battery-based trail camera, video doorbell and video security applications. This PoC
Michael Kosinski, Senior Embedded Software Engineer at Renesas Electronics, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kosinski demonstrates Renesas’ proprietary DRP-AI accelerator, which provides high performance AI inference with excellent power efficiency. This demonstration is a prototype for Renesas’ next-generation DRP-AI, which realizes sparse
Renesas Demonstration of Its Next-generation Artificial Intelligence Accelerator Read More +
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 +
Shawn Hymel, Senior Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Hymel demonstrates (“Faster Objects, More Objects”), a novel machine learning algorithm that brings object detection to highly constrained devices. FOMO lets you count objects, find the location of
Edge Impulse Demonstration of FOMO: Constrained Object Detection on Embedded Devices Read More +
Technology Collaboration Demonstrations on Display at the Renesas Booth During Embedded Vision Summit 2023 Irvine, Calif., May 19, 2023 – Syntiant Corp., a leader in edge AI deployment, today announced that the company’s commercially available deep learning computer vision (CV) models can now be deployed on the integrated DRP-AI (Dramatically Reconfigurable Processor) core on the
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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