machine vision

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on AMD Ryzen Embedded 7000 Zen 4 SoC integrates Radeon RDNA 2 graphics, up to 28 lanes of PCIe 5 connectivity

AMD Ryzen Embedded 7000 Zen 4 SoC integrates Radeon RDNA 2 graphics, up to 28 lanes of PCIe 5 connectivity

AMD Ryzen Embedded 7000

AMD Ryzen Embedded 7000 Series is a new “Zen 4” processor with integrated Radeon RDNA 2 graphics designed for high-performance embedded systems targetting industrial automation, machine vision, robotics, and edge servers. The last two Ryzen Embedded families from AMD, namely the Ryzen Embedded V3000 and Ryzen Embedded 5000, mostly targeted headless networking and storage applications since the processors lacked any 3D GPU. But the new Ryzen Embedded 7000 processors bring back graphics with a Radeon RDNA 2 GPU clocked at up to 2.2 GHz and also come with up to 12 Zen4 cores clocked at up to 5.4 GHz, and feature up to 28 lanes of PCIe 5 connectivity. Ryzen Embedded 7000 Series specifications: CPU – Up to 12-core/24-thread “Zen 4” processor GPU – Radeon RDNA 2 graphics 1WGP @ 2.2GHz max with support for AV1/VP9 decode, H.264/HEVC decode/cncode Cache – Up to 1MB L2 cache/Core, up to 32MB L3 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on TRACEPaw sensorized paw helps legged robots “feel the floor” with Arduino Nicla Vision

TRACEPaw sensorized paw helps legged robots “feel the floor” with Arduino Nicla Vision

TRACEPaw

Our four-legged friends don’t walk on tarmac the same way as they do on ice or sand as they can see and feel the floor with their eyes and nerve endings and adapt accordingly. The TRACEPaw open-source project, which stands for “Terrain Recognition And Contact force Estimation through Sensorized Legged Robot Paw“, aims to bring the same capabilities to legged robots. Autonomous Robots Lab achieves this through the Arduino Nicla Vision board leveraging its camera and microphone to run machine learning models on the STM32H7 Cortex-M7 microcontroller in order to determine the type of terrain and estimate the force exercized on the leg. But the camera is apparently not used to look at the terrain, but instead, at the deformation of the silicone hemisphere – made of “Dragon Skin” – at the end of the leg to estimate 3D force vectors, while the microphone is used to recognize terrain types […]

EmbeddedTS embedded systems design