Tomisin Olujinmi, Author at CNX Software - Embedded Systems News

November 11, 2024November 10, 2024 by Tomisin Olujinmi - 3 Comments

Signaloid C0-microSD is an iCE40UP5K FPGA SoM in the microSD card form factor (Crowdfunding)

Cambridge-based hardware and cloud computing company, Signaloid has begun crowdfunding for the C0-microSD – a tiny, programmable iCE40UP5K FPGA system-on-module (SoM) in a microSD card form factor. It comes preloaded with a RISC-V softcore and users can also load custom FPGA designs onto the board. Part of the Signaloid C0-microSD’s unique appeal is its SD card form factor, which allows it to fit in unused full SD or microSD slots. This allows the implementation of FPGA-based hardware acceleration in systems without traditional expansion interfaces like PCIe M.2 slots. It can also be interfaced with as a standard SD block device and used to bring hardware-accelerated data processing to existing industrial automation, manufacturing, and robotics systems. The iCE40UP5K FPGA SoM has two main use cases: a hot-pluggable FPGA module or a hot-pluggable RISC-V co-processor module. The SD interface allows you to load custom FPGA bitstreams and applications onto the module from […]

November 8, 2024 by Tomisin Olujinmi - No Comments

Renesas RA8E1 and RA8E2 entry-level Arm Cortex-M85 MCUs target cost-sensitive applications

Fast Prototyping Board for Renesas RA8E1

Renesas has expanded its Arm Cortex-M85-based RA8 series to include two new entry-level MCUs, RA8E1 and RA8E2. The new microcontrollers perform similarly to other Arm Cortex-M85-based microcontrollers and are offered at a lower price point thanks to a streamlined feature set to reduce costs. The RA8E1 and RA8E2 groups of microcontrollers will be useful for high-volume applications in industrial and home automation, healthcare, office equipment, and consumer products. We have previously covered other models in Renesas’ RA8 series, including the Renesas RA8T1, RA8D1, and the very first Cortex-M85 microcontroller, the Renesas RA8M1. The RA8 series consists of microcontrollers based on the Arm Cortex-M85 core with a performance of 6.39 CoreMark/MHz and Arm’s M-Profile Vector Extension which provides a 4x performance boost for DSP and ML workloads while maintaining low power consumption. The RA8E1 and RA8E2 Cortex-M85 microcontroller groups differ mostly in clock speed, available internal and external memory, communication interfaces, […]

November 5, 2024November 5, 2024 by Tomisin Olujinmi - No Comments

M5Stack releases AX630C-powered offline “Module LLM” for local smart home and AI applications

The M5Stack Module LLM is yet another box-shaped device from the company that provides artificially intelligent control without internet access. It is described as an “integrated offline Large Language Model (LLM) inference module” which can be used to implement local LLM-based solutions in smart homes, voice assistants, and industrial control. Module LLM is powered by the AX630C SoC, equipped with 4GB LPDDR4 memory, 32GB storage, and a 3.2 TOPS (INT8) or 12.8 TOPS (INT4) NPU. M5Stack says the main chip has an average runtime power consumption of 1.5W, making it suitable for long-term operation. It has a built-in microphone, speaker, microSD card slot, and USB OTG. The USB port can connect peripherals such as cameras and debuggers, and the microSD card slot supports cold and hot firmware updates. The M5Stack Module LLM joins the list of other offline, on-device LLM-based solutions, such as the SenseCAP Watcher, Useful Sensors’ AI in […]

November 4, 2024November 5, 2024 by Tomisin Olujinmi - 1 Comment

USB Insight Hub is an open-source, ESP32-S2-based tool for testing USB devices (Crowdfunding)

The USB Insight Hub is a USB testing tool based on the ESP32-S2 wireless SoC made by Ecuador-based company Aerio Solutions SAS and aimed at developers and tech enthusiasts. The Insight Hub connects to a computer via a USB Type-C port and expands it to three downstream ports, each with a 1.3-inch color display screen that displays information about the serial device such as its assigned enumeration name, voltage, and current. The enumeration name displayed helps to identify all virtual ports running through the Insight Hub. This feature is quite handy when multiple devices are connected. Although the hub features a Wi-Fi-enabled SoC, it doesn’t currently support wireless networking. Each downstream port is connected to a dedicated voltage and current meter for real-time feedback. Also, the hub implements configurable short-circuit, over-current, and back-current protection. It also allows you to control the individual activation and deactivation of the D+/D- data lines […]

November 1, 2024November 1, 2024 by Tomisin Olujinmi - No Comments

STMicro’s low-power ST1VAFE3BX AI biosensor integrates biopotential signal monitoring and motion tracking

STMicroelectronics (STMicro) has announced the ST1VAFE3BX biosensor, a highly integrated chip that combines “cardio and neurological sensing with motion tracking and embedded AI functionalities,” and is targeted at healthcare and fitness wearables. The ST1VAFE3BX biosensor chip integrates biopotential inputs with an accelerometer and a machine learning core for reduced power consumption. It features a complete vertical analog front end (vAFE) for simplified detection of vital signs in electrocardiography, electroencephalography, and other healthcare monitoring applications. Inertial sensing by the accelerometer is synchronized with biopotential sensing “to infer any link between measured signals and physical activity.” The integrated machine-learning core (MLC) and finite state machine (FSM) allow for ultra-low-power and accurate biopotential input recognition at a degree of responsiveness that is reportedly faster than the current industry standard. The ST1VAFE3BX is aimed at applications in healthcare and fitness wearables such as smartwatches, smart patches, sports bands, connected rings, and smart glasses. It […]

October 30, 2024 by Tomisin Olujinmi - No Comments

MSI MS-CF16 fanless Alder Lake-N/Amston Lake Pico-ITX single board computer features up to 16GB LPDDR5 RAM

MSI MS-CF16 Pico-ITX single-board computer

MSI MS-CF16 is a fanless single board computer (SBC) in the Pico-ITX form factor powered by low-power Intel Alder Lake-N or Amston Lake series processors. It features up to 16GB LPDDR5 RAM, offers dual independent display support via HDMI and LDVS/eDP connectors, and integrates other peripherals such as 2.5GbE and 1GbE LAN ports, multiple USB 3.2 and USB 3.0 ports, and two M.2 (B-Key and E-Key) sockets. The MS-CF16 is a smaller and more power-efficient alternative to the MS-CF17 3.5-inch SBC which we covered previously. It is perfect for industrial and embedded applications such as industrial automation, edge computing, medical devices, outdoor signage, and general computing in demanding conditions. It’s far from the first Alder Lake-N or Amston Lake Pico-ITX single board computer we’ve written about, and competing solutions include Jetway’s JPIC-ADN1, AAEON’s PICO-ASL4, DFI’s RPP051, and Kontron 2.5”-SBC-AML/ADN Alder Lake-N/Amston Lake Pico-ITX SBC covered by Sayantan earlier today. MSI […]

October 24, 2024 by Tomisin Olujinmi - No Comments

Renesas RX260 and RX261 64 MHz RXv3 MCUs target power-efficient touch applications

Renesas RX260 RX261 RXv3 microcontrollers

The Renesas RX260 and RX261 two new 64 MHz microcontrollers part of the high-performance, high-efficiency RX product family with integrated capacitive touch-sensing and high power efficiency in both active and standby modes. The microcontrollers are based on the RXv3 core with a performance score of 355 CoreMark @ 64MHz, which is “2.5 times higher than competing 64 MHz class MCUs.” The chips are also power-efficient, with a consumption rate of 69μA/MHz during active operation and 1μA only in standby mode. According to Renesas, the chips are up to 25% more efficient in active mode and 87% more efficient in standby mode than other 64 MHz class MCUs. Another competing factor is the onboard 8KB of data flash, eliminating the need for external EEPROM. The RX260 and RX261 Group MCUs support noise- and water-resistant capacitive touch via Renesas’ third-generation capacitive touch IP (CTSU2SL). They also integrate an “automatic judgment function” that […]

October 22, 2024October 22, 2024 by Tomisin Olujinmi - 1 Comment

Realtek Ameba RTL8730E Cortex-A32 audio streaming module offers a cost-effective solution for wireless audio applications

StreamUnlimited and Realtek Semiconductor Corp have collaborated on the Stream210 audio streaming module based on the Ameba Smart RTL8730E Arm Cortex-A32 chip from the Ameba E series, with support for Wi-Fi 6, Bluetooth 5.3, and Matter for edge computing and IoT solutions. We have looked at previous Ameba IoT products, such as the Ameba RTL8722DM development board, Ameba Arduino, Ameba RTL8195AM module, and the Ameba RTL8710BN. The Ameba Smart chip is the first entry in the series to feature a Cortex-A32 processor. The Stream210 module is aimed at various audio and IoT applications, including digital radios, streaming audio receivers, wireless speakers, smart speakers, home automation products, and Wi-Fi headphones. Other wireless audio modules we’ve covered in the past include the Up2Stream Pro HiFi board, TTGO T9, and 8devices’ Tobufi module. Stream210 specifications: SoC – Ameba Smart RTL8730E dual-core Arm Cortex-A32 processor @ 1.3GHz Memory – 2Gbit RAM Storage – 2Gbit […]