Nuvoton NuMicro M2L31 is a family of Arm Cortex-M23 microcontrollers clocked up to 72 MHz, equipped with 64KB to 512KB high-durability ReRAM (Resistive Random-Access Memory) with fast write speeds, 40KB to 168KB SRAM. The microcontroller supports 1.71V to 3.6V operating voltage, can operate in the -40°C to 105°C temperature range, and offers a wide range of interfaces available through packages as small as WLCSP 25 (2.5 x 2.5 mm) and up to LQFP128 (14 x 14 mm). Arm introduced the Cortex-M23 core in 2016 together with the Arm Cortex-M33 core, but while the latter is widely integrated in a large range of designs, we’ve seen fewer Cortex-M23 microcontrollers with some examples being Microchip SAML10/L11 (2018) and more recently, the Renesas RA0 family. Nuvoton adds another option with the Numicro M2L31 that also happens to integrates ReRAM non-volatile memory. Key Features: MCU core – Arm Cortex-M23 core running up to 72 […]
Mekotronics R57 – A Rockchip RK3576 Edge AI fanless mini PC with HDMI input/output, dual GbE, RS232, RS485, DIO…
Mekotronics R57 is a fanless edge AI mini PC powered by a Rockchip RK3576 octa-core Cortex-A72/A53 SoC with a 6 TOPS NPU, 4GB LPDDR5, a 32GB eMMC flash, and features such as RS485 and dual gigabit Ethernet that makes it suitable for industrial automation. I initially thought it was a cost-down version of the Mekotronics R58 mini PC that I reviewed with Android 12 as my first ever Rockchip RK3588 device. But while the mechanical design is similar and some of the ports are in the same position, there are some changes with the new model equipped with only one HDMI output, one HDMI input, two GbE jacks, and a terminal block with RS232, RS485, and digital inputs and outputs. Mekotronics R57 specifications: SoC – Rockchip RK3576 CPU 4x Cortex-A72 cores @ 2.2GHz, four Cortex-A53 cores @ 1.8GHz Arm Cortex-M0 MCU at 400MHz GPU – ARM Mali-G52 MC3 GPU with […]
Dusun DSGW-130 smart home controller fits into an 86-type junction box
The Dusun DSGW-130 smart home controller is a Rockchip PX30-powered, touch-enabled control panel designed to fit into an 86-type junction box. It runs on Android 11 and can connect to your home network using Wi-Fi and Zigbee, similar to the SONOFF NSPanel Pro. The only glaring difference I can see from the specifications is that the DSGW-130 has a few extra features like more storage, a wired network connection, RS485, and support for newer 5GHz Wi-Fi, which the SONOFF doesn’t have. We’ve also written about other similar controllers, like the SONOFF NSPanel, and reviewed the SONOFF NSPanel Pro with Zigbee and the CAM Slim WiFi camera. Check them out if you’re interested in similar products. Dusun DSGW-130 smart home controller specifications SoC – Rockchip PX30 quad-core Cortex-A35 processor with Arm Mali-G31 GPU System Memory – 1GB DDR3 Storage – 8GB eMMC 5.1 flash Display – 4-inch capacitive touchscreen color TFT display with […]
Jetway JNUC-ADN1 4″x4″ Intel N97 “NUC” SBC features two 2.5GbE ports for industrial automation and edge computing
Jetway JNUC-ADN1 is an Intel N97-powered SBC in the Next Unit of Computing (NUC) form factor. The SBC can be equipped with up to 16GB DDR5 RAM via a single SO-DIMM socket, 64GB of eMMC storage, and dual M.2 sockets for additional storage and networking. The SBC comes with two 2.5GbE Ethernet ports and has an operating temperature range of -20°C ~ 60°C, making it suitable for Edge Computing, IoT, and industrial applications. Jetway offers four variants of their NUC-ADN1 SBC whereas the N97000 version does not include eMMC or TPM 2.0 security, the N97002 version features TPM 2.0 but doesn’t have eMMC, the N97004 version omits TPM 2.0 but offers 64GB of eMMC storage, and finally the N97008 version has both TPM 2.0 and 64GB of storage. Previously we have written about similar SBCs from Jetway like the JF35-ADN1 and the Jetway MI05-0XK, we also covered several N97-based industrial […]
Arduino Pro Opta D1608E/D1608S expansions feature electromechanical or solid-state relays, 16 I/Os
Arduino has recently announced two new expansions to their Arduino Pro Opta PLC series – the Arduino Pro Opta Ext D1608E and Arduino Pro Opta Ext D1608S, the main difference between the two is that the D1608E features 8 electromechanical relays (EMRs) whereas the D1608S features solid-state relays (SSRs). Other than that both expansion modules have 16x programmable I/Os (0-24 V digital / 0-24 V analog) which doubles the number of I/Os we have seen on the Opta micro PLC. Both are compatible with the Arduino IDE and the PLC IDE and are easy to install on a DIN rail. These features make it suitable for control, monitoring, and predictive maintenance applications. Previously we have seen Arduino launch a PLC Starter Kit for those who want to get started with PLCs. Additionally, we have written about ESP32-powered PLCs, Raspberry Pi-powered PLCs, and more. Feel free to check those out if you […]
Ronetix launches NXP i.MX93 SoMs in SMARC and OSM-L form factors
Austrian embedded equipment manufacturer, Ronetix, has released two i.MX93 system-on-modules (SoMs): the RNX-iMX93-OSM that follows the Open Standard Module (OSM) form factor, and the RNX-iMX93-SMARC compliant with the SMARC 2.1 (smart mobility architecture) standard. Ronetix i.MX93 SoMs are powered by the NXP i.MX93 processor featuring a 64-bit dual-core Arm Cortex-A55 application processor running at 1.7GHz and a Cortex-M33 core running at 250MHz for low-latency and real-time tasks. The SoC supports up to 2GB LPDDR4 RAM and 512GB eMMC storage, and the integrated Arm Ethos-U65 microNPU offers up to 0.5 TOPS of computing power for machine vision applications and intelligent energy management (IEM). Applicable for industrial automation and IoT, the SoMs also feature two CAN and Ethernet interfaces to aid high-speed data transfer. Other hardware featuring the i.MX93 that we have covered recently include the ADLINK OSM-IMX93, MaaXBoard OSM93, and Ka-Ro Electronics’ QS93. The RNX-iMX93-SMARC system-on-module comes in 82 x 50mm […]
Qualcomm QCC730 low-power Arm Cortex-M4F WiFi 4 SoC targets battery-powered IoT applications
Qualcomm has unveiled the “micro-power” QCC730 Arm Cortex-M4F dual-band WiFi 4 microcontroller for the IoT market that targets similar applications as the Espressif ESP32 microcontrollers but potentially at lower power consumption with claims of up to 88% lower power than “previous generations” making it suitable for battery-powered industrial, commercial and consumer applications. To highlight the low-power consumption, the company also mentions that QCC730 devices could become high-performance alternatives to Bluetooth IoT solutions with direct cloud connectivity. Qualcomm QCC730 specifications: CPU core – Arm Cortex-M4F @ 60 MHz Memory/ Storage 1.5 MB RAM, including 600KB for user app (On-chip RRAM (NVM) to host application without the need for an external NOR flash) 640 KB SRAM, including 260KB for user app XiP over QSPI Flash Wi-Fi Standards: 802.11b, 802.11g, 802.11n, 802.11a Spectral Bands: 2.4 GHz, 5 GHz Channels: 20 MHz Antenna Configuration: 1×1 Features: up to MCS3 Interfaces – Master I2C, 15x […]
Arm Ethos-U85 NPU delivers up to 4 TOPS for Edge AI applications in Cortex-M7 to Cortex-A520 SoCs
Arm has just Introduced its third-generation NPU for edge AI with the Arm Ethos-U85 that scales from 256 GOPS to 4 TOPS or up to four times the maximum performance of the previous generation Ethos-U65 microNPU, while also delivering 20% higher power efficiency. While previous Arm microNPUs were paired with Cortex-M microcontroller-class cores potentially embedded into a Cortex-A application processor, the new Ethos-U85 can be married with Cortex-M microcontrollers and Cortex-A application processors up to the Cortex-A510/A520 Armv9 cores. Arm expects the Ethos-U85 to find its way into SoC designed for factory automation and commercial or smart home cameras with support for the new Transformer Networks and the more traditional Convolutional Neural Networks (CNNs). The Arm Ethos-U85 supports 128 to 2,048 MACs with performance ranging from 256 GOPS to 4 TOPS at 1 GHz, embeds 29 to 267KB RAM, offers SRAM, DRAM, and flash interface for external memory, and up […]