Brian Witzen, Principal Business Development Manager at Renesas Electronics, demonstrates the company’s latest edge AI and vision technologies and products in Arm’s booth at the 2024 Embedded Vision Summit. Specifically, Witzen demonstrates his company’s new RZ/V2H AI MPU. The RZ/V2H features multiple Arm Cortex cores, such as a quad-core Cortex-A55, dual-core Cortex-R8 and single Cortex-M33, […]
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 +
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 +
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