RAK7431 RS485 Bridge Relays ModBUS Data over the LoRaWAN Network

RAK7431 ModBUS RS485 LoRaWAN

Last year with covered Dragino RS485-LN RS485 to LoRaWAN converter that extends the range of RS485 wirelessly up to 15+km thanks to LoRaWAN connectivity. Rakwireless has now launched a similar product with RAK7431 Modbus RS485 to LoRaWAN bridge. RAK7431 key features and specifications: MCU- STM32L071 industrial-grade MCU with low-power consumption (4uA sleep) LoRa Semtech SX1272 LoRa transceiver Frequencies – RU864, IN865, EU868, US915, AU915, KR920, AS923 Tx Power – 20dBm (Max) LoRaWAN 1.0.3 protocol stack, supports Class A, Class B & C Polling mode, transparent mode and packet mode RS485 6-pin RS485 terminal block Support up to 16x RS485 devices, with up to 32 instruction sets Baud rate – Configurable 9600 to 115200bps Can power RS485 devices via a dedicated output USB – 1x Micro USB configuration port Misc – Reset key, 3x LEDs Input Voltages – 8-48V DC input via 2-pin terminal block; 5V via Micro USB Dimensions – […]

Exor nanoSOM nS02 System-on-Module Features the 800MHz version of STM32MP1 Processor

800 MHz-STM32MP1 System-on-Module

Arrow Electronics and Exor Embedded have announced the nanoSOM nS02 system-on-module based on the 800MHz version of STMicro STM32MP1 microprocessor unveiled last February. The 25.4 x 25.4mm module is designed for IoT edge applications such as smart IoT controllers and gateways, cloud edge interfaces, and building automation. A supporting development kit can also be provided by Arrow Electronics. NanoSOM nS02 specifications: SoC -STMicro STM32MP157 dual-core Cortex-A7 processor @ 800MHz with 3D GPU System Memory – Up to 1GB DDR3L Storage – Up to 32GB eMMC flash, 4KB EEPROM USB & Ethernet Hub – Microchip LAN9512 controller 131x solder pads with Storage – 2x SD Video Output – 24-bit RGB LCD parallel or 2-lane MIPI DSI Camera Input – 8,10,12-bit video input Audio – 1x I2S channel Networking – 2x 10/100M Ethernet (one native, one via USB hub) USB – 2x USB 2.0 host, 1x USB OTG 4x SPI, 1x I2C, […]

Linux 5.8 Release – Main Changes, Arm, MIPS, and RISC-V Architectures

Linux 5.8 Release

Linus Torvalds has just released Linux 5.8: So I considered making an rc8 all the way to the last minute, but decided it’s not just worth waiting another week when there aren’t  any big looming worries around. Because despite the merge window having been very large, there really hasn’t been anything scary going on in the release candidates. Yeah, we had some annoying noise with header file dependencies this week, but that’s not a new annoyance, and it’s also not the kind of subtle bug that keeps me up at night worrying about it. It did reinforce how nice it would be if we had some kind of tooling support to break nasty header file dependencies automatically, but if wishes were horses.. Maybe some day we’ll have some kind of SAT-solver for symbol dependencies that can handle all our different architectures and configurations, but right now it’s just a manual […]

HydraNFC Shield v2 Delivers Up to 1600 mW with STMicro ST25R3916 NFC Chipset

HydraNFC Shield V2

When Benjamin Vernoux is not working on open-source firmware & tools for AirSpy R0/R2/mini SDR, he spends his time on other projects such as HydraBus STM32 board with NFC support which we covered back in 2014. The HydraNFC Shield that came with the board was based on Texas Instruments TRF7970A NFC chipset with limited features and not compliant with any RF/NFC standard. Benjamin has now launched HydraNFC Shield v2 powered by STMicro ST25R3916 NFC chipset and equipped with a differential antenna. The new version of the shield still works with the original HydraBus board and allows much more output power (1,600mW vs 200 mW) and supports a wider range of NFC features & standards. HydraNFC Shield v2 features and specifications: NFC Chipset – STMicro ST25R3916 high-performance NFC universal device supporting NFC initiator, NFC target, NFC reader and NFC card emulation modes Antenna – Differential antenna with power up to 1600mW […]

Edge Impulse Enables Machine Learning on Cortex-M Embedded Devices

Edge Impulse

Artificial intelligence used to happen almost exclusively in the cloud, but this introduces delays (latency) for the users and higher costs for the provider, so it’s now very common to have on-device AI on mobile phones or other systems powered by application processors. But recently there’s been a push to bring machine learning capabilities to even lower-end embedded systems powered by microcontrollers, as we’ve seen with GAP8 RISC-V IoT processor or Arm Cortex-M55 core and the Ethos-U55 micro NPU for Cortex-M microcontrollers, as well as Tensorflow Lite. Edge Impulse is another solution that aims to ease deployment of machine learning applications on Cortex-M embedded devices (aka Embedded ML or TinyML) by collecting real-world sensor data, training ML models on this data in the cloud, and then deploying the model back to the embedded device. The company collaborated with Arduino and announced support for the Arduino Nano 33 BLE Sense and […]

STM32 IoT Discovery Kit Runs AWS-Ready FreeRTOS, Supports Arduino and Pmod Expansion Boards

STM32 IoT Discovery Kit

STMicroelectronics STM32 IoT Discovery Kit is supposed to ease software development for IoT nodes thanks to a qualified port of FreeRTOS integrated into the STM32Cube ecosystem, and ready to connect to Amazon Web Services (AWS). The hardware is comprised of an STM32L4+ Cortex-M4F microcontroller, various MEMS sensors, a secure element, and offers WiFi, Bluetooth 4.2, and NFC connectivity. STM32 IoT Discovery Kit (B-L4S5I-IOT01A) key features and specifications: MCU – STMicro STM32L4+ (STM32L4S5VIT6) Arm Cortex-M4F microcontroller with 2 MB Flash, 640 KB RAM in LQFP100 package storage – 64 Mbit Quad-SPI Flash Connectivity Bluetooth 4.1 module (STMicro SPBTLE-RF) 802.11 b/g/n compliant Wi-Fi module (Inventek ISM43362-M3G-L44) Dynamic NFC tag based on ST25DV04K with its printed NFC antenna USB – Micro USB OTG port STMicro Sensors 2 digital omnidirectional microphones (MP34DT01) Relative humidity and temperature sensor (HTS221) 3-axis magnetometer (LIS3MDL) 3D accelerometer and 3D gyroscope (LSM6DSL) 260-1260 hPa absolute digital output barometer (LPS22HB) […]

STMicro STM32WL Wireless MCU Gets Wireless M-Bus Stack for Smart Meters

STM32WL Wireless M-Bus Stack

STMicro STM32WL was introduced as the world’s first LoRa SoC last year as it combined an STM32L4 Arm Cortex-M4 microcontroller with Semtech SX126x LoRa radio. The company has now partnered with Stackforce to develop a wireless M-Bus (wM-Bus) software stack that leverages the integrated sub-GHz radio and multiple modulation schemes supported by STM32WL microcontrollers. Wireless M-Bus (Wireless Meter Bus) is a wireless protocol specifically designed for remote reading of smart meters, generally gas, water, or electricity meters. The wM-Bus stack developed by Stackforce is said to comply with most of EN 13757-3/-7 specifications from lower to upper layers. The stack notably supports Wireless M-BUS modes S, T and C used throughout Europe in the 868MHz band, as well as the mode N for operation at 169MHz that also happens to be Wize frequency. Stackforce Wireless M-Bus stack for STM32WL also meets requirements for several other metering standards, including the Open […]

Linux powered STMicro STM32MP1 Solder-down QFN-Style SoM Measures 27x27mm

STM32MP1 Solder-down QSMP SoM

STMicro STM32MP1 Cortex A7/M4 processor was launched last year with support for Linux and Android. Since then we’ve seen a few STM32MP1 SBC‘s, development kit and modules,  with some of the latter really compact with DHCOR STM32MP157 SoM found on Avenger96 board measuring just 29x29mm. Direct Insight has now unveiled QFN-style solder-down QSMP systems-on-module based on STM32MP1 that measure just 27 x 27 x 2.3mm and manufactured in Germany by Ka-Ro Electronics. Direct Insight / Ka-Ro STM32MP1 QSMP modules specifications: SoC QSMP-1510 module – STMicro STM32MP151A single-core Cortex-A7 processor up to 650 Mhz, plus Arm Cortex-M4 real-time core up to 200 MHz QSMP-1530 module – STMicro STM32MP153A dual-core Cortex -A7 processor up to 650 MHz, plus Arm Cortex-M4 real-time core up to 200 MHz QSMP-1570 module – STM32MP157C dual-core Cortex -A7 processor up to 650 MHz, plus Arm Cortex-M4 real-time core up to 200 MHz and Vivante 3D GPU with […]

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