Jean-Luc Aufranc (CNXSoft), Author at CNX Software - Embedded Systems News

March 24, 2024March 23, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

SparkFun’s latest GNSS breakout board features u-Blox NEO-F10N L1/L5 dual-band receiver for urban environments

The SparkFun GNSS L1/L5 Breakout is a standard precision GNSS board with meter-level positional accuracy that features the u-Blox NEO-F10N dual-band module, an SMA antenna connector, and a USB-C port for power and data. As its name implies, the board relies on the L1/L5 bands of the NEO-F10N instead of the more commonly seen L1/L2 bands and delivers better performance in urban environments. That’s because the L5 band falls within the protected ARNS (aeronautical radionavigation service) frequency band leading to less RF interference. SparkFun GNSS L1/L5 Breakout specifications: GNSS u-Blox NEO-F10N module with L1/L5 dual-band GNSS receiver Concurrent Reception of GPS, Galileo, and Beidou Integrated SMA Connector Time to First Fix: 28s (cold), 2s (hot) Max Navigation Rate for Single GNSS Configuration (GPS): 20 Hz Positional Accuracy (GPS) – 1.5m Time Pulse Accuracy – 30ns Operational Limits Max G: ≤ 4G Max Altitude: 80km Max Velocity: 500m/s Supports NMEA, UBX […]

March 23, 2024March 23, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Renesas RA2A2 Arm Cortex-M23 microcontroller offers high-resolution 24-bit ADC, up to 512KB dual-bank flash

Renesas Electronics RA2A2 Arm Cortex-M23 microcontroller (MCU) group offers a 7-channel high-resolution 24-bit Sigma-Delta ADC, as well as dual-bank flash and bank swap function for an easier implementation of firmware over-the-air (FOTA) updates. The 48MHz MCU also comes with 48KB SRAM, up to 512KB code flash, various interfaces, and safety and security features that make it suitable for smart energy management, building automation, medical devices, consumer electronics, and other IoT applications that can benefit from high-resolution analog inputs and firmware updates. Renesas RA2A2 specifications: MCU core – Arm Cortex-M23 Armv8-M core clocked at up to 48 MHz Arm Memory Protection Unit (Arm MPU) with 8 regions Memory 48 KB SRAM Memory Protection Units (MPU) Memory Mirror Function (MMF) Storage Up to 512 KB code flash memory in dual bank (256 KB × 2 banks); bank swap support 8 KB data flash memory (100,000 program/erase (P/E) cycles) Peripheral interfaces Segment LCD […]

March 22, 2024August 13, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Efinix Titanium Ti375 FPGA offers quad-core hardened RISC-V block, PCIe Gen 4, 10GbE

Efinix Titanium Ti375 SoC combines high-density, low-power Quantum compute fabric with a quad-core hardened 32-bit RISC-V block and features a LPDDR4 DRAM controller, a MIPI D-PHY for displays or cameras, and 16 Gbps transceivers enabling PCIe Gen 4 and 10GbE interfaces. The Titanium Ti375 also comes with 370K logic elements, 1.344 DSP blocks, 2,688 10-Kbit SRAM blocks, and 27,53 Mbits embedded memory, as well as DSP blocks optimized for computing and AI workloads, and XLR (eXchangeable Logic and Routing) cells for logic and routing. Efinix Titanium Ti375 specifications: FPGA compute fabric 370,137 logic elements (LEs) 362,880 eXchangeable Logic and Routing (XLR) cells 27,53 Mbits embedded memory 2,688 10-Kbit SRAM blocks 1,344 embedded DSP blocks for multiplication, addition, subtraction, accumulation, and up to 15-bit variable-right-shifting Memory – 10-kbit high-speed, embedded SRAM, conﬁgurable as single-port RAM, simple dual-port RAM, true dual-port RAM, or ROM FPGA interface blocks 32-bit quad-core hardened RISC-V block […]

March 22, 2024March 21, 2024 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

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

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 […]

March 21, 2024March 21, 2024 by Jean-Luc Aufranc (CNXSoft) - 21 Comments

Radxa Penta SATA HAT adds up to five SATA drives to the Raspberry Pi 5 for NAS applications

The Radxa Penta SATA HAT leverages the PCIe interface on Raspberry Pi 5 SBC to add up to five 2.5-inch or 3.5-inch SATA drives through four SATA connectors and an eSATA connector and enables NAS designs with the latest SBC from Raspberry Pi Limited. The Radxa’s Penta SATA HAT was initially launched in 2019 as an accessory for the Rock Pi 4 SBC powered by a Rockchip RK3399 processor and an M.2 PCIe socket since Raspberry Pi competitors have been exposing PCIe interfaces for years. It turns out the exact same Penta SATA HAT design can be reused with the Raspberry Pi 5 by providing a new PCIe FPC cable and updating the configuration scripts. Radxa Penta SATA HAT for Raspberry Pi 5 specifications: 4x SATA interfaces + 1x eSATAp for up 100TB storage via 5x 2.5″ or 3.5″ HDD/SSD Host Connection – Flat cable with 2-lane PCIe 2.1 via […]

March 21, 2024 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

STMicro announces ultra-low-power STM32U0 MCU, unveils 18nm FD-SOI process for STM32 microcontrollers

STMicro has announced the ultra-low-power STM32U0 Arm Cortex-M0+ microcontroller family running up to 56 MHz that reduces energy consumption by up to 50% compared to previous product generations such as STM32C0 or STM32L0 while targetting SESIP Level 3, PSA-Certified Level 1, and NIST certifications. Separately, the company also introduced a new 18nm FD-SOI manufacturing process for STM32 microcontrollers that will replace the 40nm process currently used. STMicro STM32U0 Cortex-M0+ MCU STMicro STM32U0 key features and specifications: MCU Core – Cortex-M0+ up to 54 MHz with ART accelerator Memory / Storage STM32U031x – 12KB SRAM, 16 to 64KB flash STM32U073x – 40 KB SRAM, 16 to 256 KB flash STM32U083x – 40 KB SRAM, 256 KB flash Display – LCD controller for 8×48 or 4×52 segment displays (STM32U073, STM32U083) Peripherals 3x I2C, 2x SPI, 4x USART, 2x low-power UART. Up to 21x capacitive sensing channels USB – 1x USB 2.0 device […]

March 20, 2024March 20, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Make a Raspberry Pi 5 Game Boy lookalike with the PiBoy DMGx handheld gaming console kit

Experimental Pi’s PiBoy DMGxis is a kit that converts the Raspberry Pi 5 into a handheld gaming console that looks like a Game Boy with a 3.5-inch color display and all the controls found on the original Game Boy. The company has launched several PiBoy portable game console kits for Raspberry Pi SBCs over the years, so the new PiBoy DMGx for the Raspberry Pi 5 should come as no surprise, and the company says it should be able to run emulators for N64, PSP, Dreamcast, Wii, Gamecube, PS2, and others. PiBoy DMGx kit specifications: Supported SBCs – Raspberry Pi 5; with adapters: Raspberry Pi 3 and 4 Storage – MicroSD card slot (11) Display – 3.5-inch display with 640 x 480 resolution (3) Video Output – Micro HDMI port from RPi 5 Audio – Speaker (5), 3.5mm audio jack (7) User inputs – D-Pad (10), analog stick (9), […]

March 19, 2024March 18, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Edge Impulse machine learning platform adds support for NVIDIA TAO Toolkit and Omniverse

Edge Impulse machine learning platform for edge devices has released a new suite of tools developed on NVIDIA TAO Toolkit and Omniverse that brings new AI models to entry-level hardware based on Arm Cortex-A processors, Arm Cortex-M microcontrollers, or Arm Ethos-U NPUs. By combining Edge Impulse and NVIDIA TAO Toolkit, engineers can create computer vision models that can be deployed to edge-optimized hardware such as NXP I.MX RT1170, Alif E3, STMicro STM32H747AI, and Renesas CK-RA8D1. The Edge Impulse platform allows users to provide their own custom data with GPU-trained NVIDIA TAO models such as YOLO and RetinaNet, and optimize them for deployment on edge devices with or without AI accelerators. NVIDIA and Edge Impulse claim this new solution enables the deployment of large-scale NVIDIA models to Arm-based devices, and right now the following object detection and image classification tasks are available: RetinaNet, YOLOv3, YOLOv4, SSD, and image classification. You can […]