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Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Qualcomm RB3 Gen 2 Platform with Qualcomm QCS6490 AI SoC targets robotics, IoT and embedded applications

Qualcomm RB3 Gen 2 Platform with Qualcomm QCS6490 AI SoC targets robotics, IoT and embedded applications

Qualcomm RB3 Gen 2 Platform Vision Kit

Qualcomm had two main announcements at Embedded World 2024: the ultra-low-power Qualcomm QCC730 WiFi microcontroller for battery-powered IoT devices and the Qualcomm RB3 Gen 2 Platform hardware and software solution designed for IoT and embedded applications based on the Qualcomm QCS6490 processor that we’re going to cover today. The kit is comprised of a QCS6490 octa-core Cortex-A78/A55 system-on-module with 12 TOPS of AI performance, 6GB RAM, and 128GB UFS flash connected to the 96Boards-compliant Qualcomm RBx development mainboard through interposer, as well as optional cameras, microphone array, and sensors. Qualcomm QCS6490/QCM6490 IoT processor Specifications: CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES 3.2, Open CL 2.0, Vulkan 1.x, DX FL 12 DSP – Hexagon […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on Qualcomm QCC730 low-power Arm Cortex-M4F WiFi 4 SoC targets battery-powered IoT applications

Qualcomm QCC730 low-power Arm Cortex-M4F WiFi 4 SoC targets battery-powered IoT applications

Qualcomm QCC730 dual WiFi IoT microcontroller

Qualcomm has unveiled the “micro-power” QCC730 Arm Cortex-M4F dual-band WiFi 4 microcontroller for the IoT market that targets similar applications as the Espressif ESP32 microcontrollers but potentially at lower power consumption with claims of up to 88% lower power than “previous generations” making it suitable for battery-powered industrial, commercial and consumer applications. To highlight the low-power consumption, the company also mentions that QCC730 devices could become high-performance alternatives to Bluetooth IoT solutions with direct cloud connectivity. Qualcomm QCC730 specifications: CPU core – Arm Cortex-M4F @ 60 MHz Memory/ Storage 1.5 MB RAM, including 600KB for user app (On-chip RRAM (NVM) to host application without the need for an external NOR flash) 640 KB SRAM, including 260KB for user app XiP over QSPI Flash Wi-Fi Standards: 802.11b, 802.11g, 802.11n, 802.11a Spectral Bands: 2.4 GHz, 5 GHz Channels: 20 MHz Antenna Configuration: 1×1 Features: up to MCS3 Interfaces – Master I2C, 15x […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Arm Ethos-U85 NPU delivers up to 4 TOPS for Edge AI applications in Cortex-M7 to Cortex-A520 SoCs

Arm Ethos-U85 NPU delivers up to 4 TOPS for Edge AI applications in Cortex-M7 to Cortex-A520 SoCs

Arm Ethos-U85 NPU

Arm has just Introduced its third-generation NPU for edge AI with the Arm Ethos-U85 that scales from 256 GOPS to 4 TOPS or up to four times the maximum performance of the previous generation Ethos-U65 microNPU, while also delivering 20% higher power efficiency. While previous Arm microNPUs were paired with Cortex-M microcontroller-class cores potentially embedded into a Cortex-A application processor, the new Ethos-U85 can be married with Cortex-M microcontrollers and Cortex-A application processors up to the Cortex-A510/A520 Armv9 cores. Arm expects the Ethos-U85 to find its way into SoC designed for factory automation and commercial or smart home cameras with support for the new Transformer Networks and the more traditional Convolutional Neural Networks (CNNs). The Arm Ethos-U85 supports 128 to 2,048 MACs with performance ranging from 256 GOPS to 4 TOPS at 1 GHz, embeds 29 to 267KB RAM, offers SRAM, DRAM, and flash interface for external memory, and up […]

Posted on by Debashis Das - No Comments on Renesas AIK-RA4E1 and AIK-RA6M3 reference kits are designed for accelerated AI/ML development

Renesas AIK-RA4E1 and AIK-RA6M3 reference kits are designed for accelerated AI/ML development

Renesas AIK RA4E1 and AIK RA6M3 reference

Renesas AIK-RA4E1 and AIK-RA6M3 are two new development boards based on RA-series 32-bit microcontrollers. These new dev boards have multiple reconfigurable connectivity functions to accelerate AI and ML design and development time. Both boards appear similar, but the AIK-RA4E1 uses the R7FA4E110D2CFM MCU, features three Pmod ports, and has no Ethernet support. On the other hand, the AIK-RA6M3 utilizes the R7FA6M3AH3CFC MCU, has six Pmod ports, and includes Ethernet support. Both the boards support full-speed USB and CAN bus. Renesas AIK-RA4E1 and AIK-RA6M3 reference kits specifications (Consolidated): RA4E1 Microcontroller Features: Model: R7FA4E110D2CFM Package: 64-pin LQFP Core: 100 MHz Arm Cortex-M33 SRAM: 128 KB on-chip Code Flash Memory: 512 MB on-chip Data Flash Memory: 8 KB on-chip RA6M3 Microcontroller Features: Model: R7FA6M3AH3CFC Package: 176-pin LQFP Core: 120 MHz Arm Cortex-M4 with FPU SRAM: 640 KB on-chip Code Flash Memory: 2 MB on-chip Data Flash Memory: 64 KB on-chip Connectivity: One USB […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 16 Comments on Duo S RISC-V/Arm SBC features Sophgo SG2000 SoC, Ethernet, WiFi 6, and Bluetooth 5 connectivity

Duo S RISC-V/Arm SBC features Sophgo SG2000 SoC, Ethernet, WiFi 6, and Bluetooth 5 connectivity

Duo S SBC Sophgo SG2000 Ethernet WiFi 6 Bluetooth

Shenzhen MilkV Technology’s Duo S is a tiny SBC based on the 1 GHz Sophgo SG2000 Arm Cortex-A53 and RISC-V SoC with 512MB DDR3 (SiP), Fast Ethernet, WiFi 6, and Bluetooth 5 connectivity, and a switch to select Arm or RISC-V architecture before powering the board. We already had covered SG2002 Arm/RISC-V boards with 256MB RAM, namely the LicheeRV Nano and Duo 256M, but for people needing more memory, the Duo S provides another option that also features two 2-lane MIPI CSI connectors, a USB 2.0 host port, and two 26-pin headers for expansion. Its form factor reminds me of FriendlyELEC’s NanoPi NEO and family powered by Allwinner processors that were introduced a few years ago. Duo S specifications: SoC – SOPHGO SG2000 Main core – 1 GHz 64-bit RISC-V C906 or Arm Cortex-A53 core (selectable) Minor core – 700 MHz 64-bit RISC-V C906 core Low-power core – 25 to […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 7 Comments on Smartcam T1205 – An IP65-rated AI camera with NVIDIA Jetson Orin Nano 40 TOPS system-on-module

Smartcam T1205 – An IP65-rated AI camera with NVIDIA Jetson Orin Nano 40 TOPS system-on-module

NVIDIA Jetson Orin AI camera

SmartCow’s SmartCam T1025 is a powerful AI camera based on the NVIDIA Jetson Orin Nano 8GB system-on-module with 40 TOPS of AI performance. The camera features M12 connectors for gigabit Ethernet, power, and serial interface, and has been certified with an IP65 ingress protection rating for outdoor operation. The camera also comes with 256GB NVMe SSD for the OS (Jetpack 6.0) and data storage and supports 4G LTE and GPS connectivity through an M.2 module. The company also introduced the SmartCam T1023 model compatible with NVIDIA Jetson Nano and Jetson TX2 NX for applications that do not require as much processing power and/or memory as provided by the Jetson Orin Nano AI camera. SmartCam T1025 specifications: System-on-module – NVIDIA Jetson Orin Nano 8GB CPU – 6-core Arm Cortex-A78AE v8.2 64-bit CPU @ 1.5 GHz with 1.5 MB L2 + 4 MB L3 GPU – 1024-core NVIDIA Ampere GPU @ 625 […]

Posted on by Kumpee Teeravech - 10 Comments on Review of Purple Pi OH – A Rockchip RK3566 SBC tested in 2GB/16GB and 4GB/32GB configurations

Review of Purple Pi OH – A Rockchip RK3566 SBC tested in 2GB/16GB and 4GB/32GB configurations

Review of Purple Pi OH and Purple Pi OH Pro

Hello, I am going to review the Purple Pi OH boards from Wireless-Tag. The Purple Pi OH is a single-board computer (SBC) mechanically compatible with the Raspberry Pi. They are designed for personal mobile Internet devices and AIoT devices, which can be used in various applications, such as tablets, speakers with screens, and lightweight AI applications. The manufacturer sent me two models. The first model is the Purple Pi OH, which is equipped with 2GB of memory and 16GB of storage space and supports 2.4GHz Wi-Fi. The second model is the Purple Pi OH Pro, equipped with 4GB of memory and 32GB of storage space. This board supports both 2.4GHz and 5GHz Wi-Fi. The other components of both devices are almost the same. They are powered by the Rockchip RK3566 chip, which integrates a quad-core Cortex-A55 processor up to 1.8 GHz, a Mali-G52 GPU from Arm for 3D graphics acceleration, […]

Posted on by Tomisin Olujinmi - 12 Comments on TinyVision is a compact Allwinner V851S/V851S3-powered Linux board for vision-based applications

TinyVision is a compact Allwinner V851S/V851S3-powered Linux board for vision-based applications

tinyvision board

Unrelated to tinyVision.ai, the TinyVision development board is a computer vision board from Chinese developer YuzukiTsuru powered by either the Allwinner V851S or the V851S3 and is billed as an “ultimate all-in-one solution for Linux motherboards, IPCs, servers, routers, and more.” It packs features such as a Cortex-A7 core running at 1200MHz, a 2-channel MIPI CSI input, and an independent image signal processor (ISP) capable of a maximum resolution of 2560 x 1440 in a compact form factor. TinyVision specifications: Processor – Allwinner V851SE / V851s3 with Cortex-A7 core @ 1200MHz and RISC-V E907GC core @ 600MHz NPU: 0.5TOPS (tera operations per second) @ INT8 precision Memory – 64MB DDR2 (V851se), 128MB DDR3L (V851s3) Storage – MicroSD card slot (supports UHS-SDR104), onboard SD NAND via SPI Display – 2-lane MIPI DSI (1280 x 720 @ 60fps), RGB LCD (320 x 240 @ 60fps) Video Input ISP with a maximum resolution […]

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