Quectel KCMCA6S industrial wM-bus modules target smart metering

cnx KCMCA6S series sub GHz Wireless M Bus (WM Bus) modules

Quectel’s KCMCA6S is a series of industrial wireless M-Bus (wM-Bus) modules built around Silicon Labs’ EFR32FG23 chipset. The modules operate in the 868 MHz, 169 MHz, and 433 MHz bands and support the EN13757-4 wM-Bus standard for smart metering and AMI (Advanced Metering Infrastructure) applications. The device features an Arm Cortex-M33 processor, 32 KB of SRAM, 256 KB of flash, and a Sub-GHz transceiver. It supports multiple wM-Bus modes (T, C, S, R, N, F), with dynamic multi-mode switching, flexible frequency configuration, and low-power operation alongside multi-layer security mechanisms. Interfaces include USART, SWD, and GPIOs, with optional EUSART, I²C, and ADC through pin multiplexing. Available in two variants (with or without SAW filter), the module comes in a compact 25.4 × 14.0 × 2.9 mm LCC package for water, electricity, gas, and heat metering systems. Quectel KCMCA6S specifications: MCU- Silicon Labs EFR32FG23 Core – Arm Cortex-M33 core, up to 78 […]

Renesas RA4C1 Arm Cortex-M33 MCU targets Smart Meters and energy-efficient IoT applications

Renesas RA4C1

Renasas RA4C1 microcontroller (MCU) group is based on an 80-MHz Arm Cortex M33 core and designed for utility meters and battery-powered IoT applications. It’s especially suited to devices that require advanced security and segment LCD support, such as smart locks, thermostats, building controls, and industrial user interfaces. The RA4C1 is very similar to the Renesas RA4L1 MCU designed for HMI applications, but it comes with more RAM (96KB vs 64KB), and being optimized for Smart Meters lacks features like capacitive touch and audio output. The new MCU group still comes with up to 512KB code flash, 8KB data flash, plenty of I/Os, and a low-power consumption down to 168 µA/MHz in active mode, and a standby current of less than 1.79 µA with all SRAM retained. Renesas RA4C1 specifications: MCU core – Arm Cortex-M33 Armv8-M core up to 80 MHz Memory – 96 KB SRAM Storage 256 KB or 512 KB […]

AI-On-The-Edge-Cam ESP32-S3 board aims to digitize legacy utility meters

AI-On-The-Edge-Cam ESP32-S3 board

AI-On-The-Edge-Cam is an ESP32-S3 board with a 2MP camera, microSD card, WiFi, BLE, and PoE Ethernet connectivity designed to digitize legacy utility meters such as water meters, gas meters, or electricity meters that require manual onsite reading. AI-On-The-Edge-Cam is also the name of the firmware running on the board and was initially designed for the ESP32-CAM board. But the new board adds a few features that make it more versatile, like PoE support and a microSD card slot for storage, as well as RGB LEDs acting as a flash to allow meter reading at any time of the day or night. AI-On-The-Edge-Cam specifications: Wireless module – ESP32-S3-WROOM-1U-N16R8 SoC – Espressif Systems ESP32-S3 CPU – Dual-core Tensilica LX7 up to 240 MHz Memory – 512KB SRAM, up to 8MB PSRAM Storage – 16 MB flash Wireless – WiFi 4 and Bluetooth LE 5 IPEX antenna connector Storage – microSD card slot […]

Quectel KCM0A5S Wi-SUN FAN module targets large IoT deployments for Smart Cities and Smart Agriculture

Quectel Wi-SUN development board

Quectel KCM0A5S is a Wi-SUN FAN module based on Silicon Labs EFR32FG25 Arm Cortex-M33 Sub-GHz wireless MCU, designed for applications such as street lighting, precision agriculture, industrial IoT, smart meters, and Smart Cities. Wi-SUN (IEEE 802.15.4g) is an LPWAN (Low Power Wide Area Network) standard leveraging IPv6 mesh networking for large-scale IoT deployments in Smart Cities and Smart Agriculture. The KCM0A5S module specifically supports the Wi-SUN Field Area Network (FAN) 1.1 protocol and operates across the 470–928 MHz frequency range. The module can act as a leaf node, a router, or a border router when paired with a Linux host in RCP (Radio Co-Processor) mode. Quectel KCM0A5S specifications: Wireless SoC – Silicon Labs EFR32FG25 CPU core – Arm Cortex-M33 core @ 97.5 MHz with DSP instruction and floating-point unit for signal processing Memory – 256 KB RAM data memory Storage – About 2MB flash program memory Radio – Sub-GHz radio operation […]

Harnessing the Power of AI in Industrial Automation (Sponsored)

ModBerry 500 CM5 AI predictive maintenance

The industrial IoT (IIoT) landscape is undergoing a transformative shift, driven by advancements in artificial intelligence (AI). Among the frontrunners of this revolution is the ModBerry 500 CM5, a cutting-edge IoT platform enhanced by optional AI modules like the Hailo-8L and Geniatech AIM-M2. With the integration of these modules, the ModBerry 500 CM5 becomes a powerhouse for industrial automation, offering unparalleled performance and scalability. Let’s dive into the exciting capabilities of this innovative combination and explore the current and future applications of AI in IIoT. ModBerry 500 CM5: The Core of Smart Industrial Automation At the heart of the ModBerry 500 CM5 is the powerful Raspberry Pi Compute Module 5, featuring a quad-core Cortex-A76 processor and support for up to 16GB of RAM. When paired with AI acceleration modules like the Hailo-8L and Geniatech AIM-M2, the ModBerry 500 CM5 evolves from an IoT hub into a sophisticated AI-enabled system capable […]

216MHz GigaDevice GD32G5 Cortex-M33 MCU features analog interfaces and accelerators for industrial applications

Gigadevice GD32G5 Arm Cortex M33 MCU

Starting with the GD32G553 SKUs, the 216 MHz GigaDevice GD32G5 high-performance Arm Cortex-M33 microcontroller family features 256KB to 512KB of embedded Flash with dual-bank Flash support, 128KB of SRAM, and a range of hardware accelerators including a DSP, single-precision FPU, a trigonometric function accelerator (TMU), and other hardware acceleration units, filter algorithms (FAC) and Fast Fourier Transform (FFT). Designed for industrial applications, the GD32G5 microcontrollers also offer a wide range of digital and analog interfaces and enhanced security capabilities suitable for digital power systems, charging stations, energy storage inverters, frequency converters, servo motors, and optical communication. GigaDevice GD32G5 specifications: MCU Core – Arm Cortex-M33 Armv8-M core clocked at up to 216MHz with DSP instruction set and single-precision FPU; up to 316 DMIPS, CoreMark score: 694. Memory/Storage 128KB SRAM (80KB SRAM0 + 16KB SRAM1 + 32KB TCMSRAM) 256KB to 512KB on-chip flash, QSPI interface for external storage External memory controller (EXMC) […]

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

Renesas EK-RA2A2 evaluation board

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 […]

Allwinner T527 System-on-Module features octa-core Cortex-A55 CPU, 2 TOPS AI accelerator

Allwinner T527 system-on-module

MYiR MYC-LT527 is a compact System-on-Module (SoM) based on Allwinner T527 octa-core Arm Cortex-A55 SoC with a 2 TOPS AI accelerator, up to 4GB RAM, 32GB flash, and a land grid array (LGA) comprised of 381 pads with a range of interfaces for displays and cameras, networking, USB, and PCIe, and more. The company also introduced the MYD-LT527 development board to showcase the capabilities of the Allwinner T527 CPU module suitable for a range of applications such as industrial robots, energy and power management, medical equipment, display and controller machines, edge AI boxes and boards, automotive dashboards, and embedded devices that require media and AI functionalities. MYC-LT527 Allwinner T527 System-on-Module MYC-LT527 specifications: SoC – Allwinner T527 CPU Octa-core Arm Cortex-A55 processor with four cores @ 1.80 GHz and four cores @ 1.42GHz E906 RISC-V core up to 200 MHz DSP – 600MHz HIFI4 Audio DSP GPU – Arm Mali-G57 MC1 […]

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