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 […]
Murata Type 2GT tiny LoRa module features Semtech LR1121 with Sub-GHz ISM, 2.4GHz, satellite S-Band support
Murata Type 2GT module is a tiny multi-band, low-power radio LoRa module based on the Semtech LR1121, the successor of the LR1120, that supports 860 to 930 MHz and 2.4GHz ISM bands, as well as the 2.1 GHz Satellite S-Band meaning it can work globally. The Type 2GT module measures just 9.98 x 8.70 x 1.74mm and is built on a PCB housed in a metal case and packaged as a land grid array. It combines the Semtech LR1121 RF transceiver IC, a thermally compensated crystal oscillator (TCXO), a second 32KHz crystal, an RF switch, and an RF matching network. Murata Type 2GT module (LBAA0XV2GT-001) specifications: Transceiver – Semtech LR1121 LoRa transceiver LoRa frequencies 860 to 930 MHz (ISM) 2.4 GHz ISM 2.1 GHz satellite S-Band Technology – LoRa, LR-FHSS (Long Range – Frequency Hopping Spread Spectrum) 32 MHz TCXO for maximum frequency accuracy Peripheral I/F – SPI and GPIOs […]
Nuvoton launches M433 Series ultra-low power Arm Cortex-M4F MCUs, NuMaker-M433SE development board
Nuvoton has recently announced their M433 Series MCUs (M433LE8AE and M433SE8AE) along with the NuMaker-M433SE development board. Nuvoton is calling this the “M433 CAN/USB FS OTG” Series, featuring an Arm Cortex-M4F core with DSP and FPU extensions. The MCU is clocked at 144 MHz and consumes 350 nA in deep power-down mode, making it ideal for battery-operated IoT, industrial, and consumer applications. This is not the first Nuvoton MCU we have written about. In recent months, we have seen Nuvoton release the NuMicro M091 Series, the Nuvoton MA35H0 – a cost-optimized MPU, and other dev boards and MCUs. Feel free to check those out if you are interested in the topic. Nuvoton M433 Series MCUs specifications: MCU core 144 MHz Arm Cortex-M4F Includes DSP and FPU instructions Memory Protection Unit (MPU) with 8 regions Memory Up to 128 KB Flash 4 KB LDROM Up to 64 KB SRAM with parity […]
ESP32-C5 beta board features 2.4GHz and 5GHz SMA antenna connectors, two USB-C ports
Espressif ESP32-C5 microcontroller was announced in June 2022 as the first dual-band WiFi 6 IoT chip from the company. It’s been quiet since then, but things are about to change as the ESP32-C5 beta board’s documentation has very recently been released. The ESP32-C5 was initially announced as a dual-band WiFI 6 and Bluetooth 5.0 LE SoC, but the user manual for the beta board indicates that it also supports Zigbee 3.0 and Thread 1.3, so there’s an 802.15.4 in the wireless microcontroller. The ESP32-C5 board itself features two SMA connectors for 2.4 GHz and 5GHz antennas or test equipment, two USB-C ports, two 12-pin GPIO header, Boot and Reset buttons, an RGB LED, and a 2-pin header for current measurements. ESP32-C5 beta board specifications: SoC – ESP32-C5-BETA3 CPU – Single-core 32-bit RISC-V processor @ up to 240 MHz Memory – 400KB SRAM on-chip Storage – 384KB of ROM on-chip, support […]
Quectel KG200Z LoRa module is now secured by The Things Stack
In January of this year, Quectel launched the KG200Z LoRa Module, an Arm Cortex-M4-based module boasting a self-proclaimed range of 2-5 kilometers in urban settings and 10-15 kilometers in suburban areas. At that time, it was just another LoRa module with some additional features. However, in the latest development, Quectel and The Things Industries have announced a partnership that ensures this LoRa module comes integrated with “Works with The Things Stack” and “Secured by The Things Stack” certifications, enhancing its value and utility. In simpler terms, it’s been tested and proven to operate smoothly within The Things Stack ecosystem. Earlier this year, we saw STMicro and Particle Industries release their LoRa-based modules and devices. Feel free to check those out if you are interested. KG200Z LoRa Module Specification: Arm Cortex-M4-based standalone LoRa module (STM32WL) Frequency support – 470–510MHz and 862–928MHz bands Low power – 1.7 μA in deep sleep mode […]
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) @ […]
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 […]
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 […]