Wireless communication solutions provider, u-blox has added two new modules to its Bluetooth LE portfolio with the ALMA-B1 and NORA-B2 modules built upon the latest low-power wireless nRF54 chips from Nordic Semiconductor. Both modules come in a portable, power-efficient layout and support Bluetooth 5.4 and 802.15.4 (Thread, Matter, Zigbee). The ALMA-B1 and NORA-B2 BLE modules are powered by the low-power nRF54H20 and nRF54L15 SoCs, respectively. This enables them to provide IoT devices with sufficient processing power for edge computing and machine learning without the need for external components. u-blox claims that the ALMA-B1 module provides “more than twice the processing power of previous Bluetooth LE modules” and can replace general-purpose microcontrollers in compact solutions. Also, the NORA-B2 reportedly “consumes up to 50% less current compared to previous generations of Bluetooth LE modules,” leading to longer battery life or smaller batteries in end products. Both modules are classified as open CPU […]
Digi ConnectCore MP25 SoM targets Edge AI and computer vision applications with STM32MP25 MPU
Digi International has announced its latest system-on-module (SoM), the Digi ConnectCore MP25 SoM, based on STM32MP25 MPU at Embedded World 2024 in Nuremberg, Germany. The Digi ConnectCore MP25 SoM is built upon STMicroelectronics’ STM32MP25 microprocessor. It supports artificial intelligence and machine learning functionality through an integrated neural processing unit (NPU) capable of 1.35 tera operations per second (TOPS) and an image signal processor (ISP). It is powered by two 64-bit Arm Cortex-A35 cores running at 1.5GHz, supported by a 32-bit Cortex-M33 core operating at 400MHz and a 32-bit Cortex-M0+core running at 200MHz. With its machine learning capabilities, support for time-sensitive networking, and versatile connectivity features, the ConnectCore MP25 module is suitable for edge AI, computer vision, and smart manufacturing applications in various sectors, including medical, energy, and transportation. Digi ConnectCore MP25 specifications: SoC – STMicroelectronics STM32MP257F CPU – 2x 64-bit Arm Cortex-A35 @ 1.5 GHz; MCU 1x Cortex-M33 @ 400 […]
Cavli’s CQM220 5G RedCap module is available in LGA, M.2, and mPCIe form factors
At Embedded World 2024, leading cellular IoT module manufacturer, Cavli Wireless, is set to shine the spotlight on their latest product offering, the CQM220 cellular IoT module with support for the 5G RedCap (reduced capability) standard introduced in 3GPP Release 17. The module is available in three different form factors: LGA, M.2, and mPCIe Gen 2. It offers a maximum network speed of 226 megabits per second (Mbps) for downlink communication and 121 megabits per second for uplink communication. Similar to the Cavli C16QS module, it can support an integrated eSIM for global coverage via the Calvi Hubble cloud platform and comes with an optional GNSS (Global navigation satellite system) for tracking applications. Cavli CQM220 specifications: Processor – ARM Cortex-A7 @ up to 1.7 GHz Memory / Storage 256 MB RAM 256 MB flash Radio Radio Access Technology: 5G RedCap 3GPP Release: 17 Fallback: 4G LTE Cat 4 Network Speed […]
M5Stack BugC2 programmable robot base has an STM32 control chip and a four-way motor driver
Modular IoT hardware developer, M5Stack, has released a new programmable robot base based on the STM32F030F4 microcontroller with LEGO and Arduino compatibility. The M5Stack BugC2 is “compatible with the M5StickC series controllers,” and includes the ESP32-powered M5StickC Plus2 development kit in the package. It features an L9110S four-way motor driver for all-directional operation, two programmable RGB LEDs, an infrared encoder, and a 16340 rechargeable Li-ion battery holder. It also comes with a USB Type-C port for charging the battery and supports onboard reverse charging protection and voltage detection. Listed applications for the M5Stack BugC2 programmable robot base include remote motor control, robot control, and an intelligent toy. M5Stack BugC2 specifications: Microcontroller – STMicroelectronics STM32F030F4 microcontroller, with Arm 32-bit Cortex-M0 CPU @ 48 MHz, and with up to 256KB of flash memory Motor driver – L9110S Infrared receiver – SL0038GD IR detection distance (StickC Plus2) Infrared emission distance (linear distance) at […]
Toshiba M4K Group microcontrollers for motor control get expanded flash & memory capacity
Toshiba has included eight new products with 512KB/1MB flash storage capacity and four packages in its M4K Group of Arm Cortex-M4-powered microcontrollers. The M4K Group is part of Toshiba’s TXZ+ Family Advanced Class, consisting of five groups of low-power, high-performance 32-bit microcontrollers. The new microcontrollers expand code flash memory to 512KB/1MB from the 256KB maximum supported by current products, and RAM capacity to 64KB from 24KB. They retain the Arm Cortex-M4 core, integrated code flash, and 32KB data flash memory (with 100K program/erase cycles). With different motor control options such as advanced programmable motor circuits, advanced 32-bit encoders, advanced vector engine plus, and three units of high-speed, high-resolution 12-bit analog/digital converters, these class of microcontrollers are quite capable of 3-motor control, even in small scale applications (64-pin). The new products with 1MB code flash separate the memory into two distinct 512KB areas, enabling memory swap and seamless over-the-air firmware updates, […]
Arduino Nano Matter board specifications and price announced
The Arduino Nano Matter is the product of a collaboration between Arduino and Silicon Labs. The Nano Matter board was announced in January and is powered by SiLabs’ MGM240S chip. It offers multiple wireless connectivity options such as Matter, OpenThread, and Bluetooth Low Energy. Support for the Matter standard is the Nano Matter board’s key offering. Matter is an open-source, connectivity protocol that lets smart home devices from different manufacturers interoperate seamlessly. The 45mm x 18mm board leverages dual-mode connectivity, with IEEE 802.15.4 (Thread) for mesh networking and Bluetooth Low Energy for short-range communication. It is targeted at the Internet of Things, home automation, professional automation, environmental monitoring, and climate control applications. Prospective industrial applications include machine-to-machine interoperability, machine status monitoring, and worker status optimization. Arduino Nano Matter specs: MPU – SiLabs MGM240SD22VNA MCU core – 32-bit Arm Cortex-M33 with DSP (digital signal processing) instruction and FPU (floating-point unit) @ […]
SB Components’ Trekko Pico is an open-source, RP2040-powered GPS logger with multi-GNSS support
After the success of their Kickstarter campaign, SB Components has now made the Trekko Pico GPS logger available for pre-order. The Trekko Pico is a small location logger for travelers and outdoor enthusiasts that makes it easy to track routes and record their travels. A Raspberry Pi RP2040 powers the Trekko Pico, providing the programming, connectivity, and data logging functionality. The Quectel GNSS L76K module supports the concurrent reception of GPS, GLONASS (or BeiDou), Galileo, SBAS, and QZSS signals, with 32 tracking and 72 acquisition channels. There is a JST 2-pin connector that can be used to attach an external battery, and the Microchip MCP73831 controller is responsible for battery charging and management. Also, users can slot a coin cell into the holder at the back of the board to power a real-time clock for data backup purposes. Potential applications for the Trekko Pico GPS logger include surveillance, telematics, Geographic […]
TinyVision is a compact Allwinner V851S/V851S3-powered Linux board for vision-based applications
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 […]