ESP32 OpenMQTTGateway smart plug acts as an BLE MQTT gateway and a power meter

ESP32 BLE Gateway Power Meter

The Theengs Plug ESP32 smart plug runs OpenMQTTGateway firmware to serve as a BLE MQTT gateway and power meter compatible with Home Assistant, Homebridge, OpenHAB, DomoticZ, FHEM, Jeedom, NodeRed, AWS, and any MQTT-compatible IoT or Smart Home system. While the Matter standard should improve interoperability between Smart Home frameworks over time, there are still millions of devices already produced that are not Matter compatible, and the Theengs Plug aims to at least partially address this issue by helping users reduce the number of hubs required and have only one that supports different ecosystems. Theengs Plug hardware specifications: Microcontroller – ESP32 dual-core wireless MCU with 2.4 GHz WiFi and Bluetooth LE connectivity Network Protocol – MQTT Power Supply – 100-120VAC, 60Hz, up to 15A Dimensions – 103 x 61 x 34.6mm Temperature Range – Operating: 0ºC ~ 40ºC; storage: -10°C ~ 50°C Humidity – 0%~95% (no condensation) Certification – UL Some […]

EDATEC CM4 Sensing industrial computer offers CAN bus, RS485, and RS232 interfaces

Edatec CM4 Sensing

EDATEC CM4 Sensing is a compact industrial computer based on the Raspberry Pi Compute Module 4 (CM4) with multiple RS485, RS232, and CAN bus interfaces, an HDMI port, two USB ports, Gigabit Ethernet, and optional WiFi, Bluetooth, and/or 4G LTE connectivity. The industrial mini PC can operate in the -25 to 70°C temperature range, supports 8 to 28V DC wide voltage input, includes an RTC, and the single board computer also features a MIPI DSI interface to connect the official Raspberry Pi 7-inch display as well as an FPC interface with HDMI and USB touch.   EDATEC CM4 Sensing specifications: SoM – Raspberry Pi CM4 module with Broadcom BCM2711 quad-core Cortex-A72 SoC, 1GB to 8GB LPDDR4 RAM, and up to 32GB eMMC flash Storage – MicroSD card socket for data storage. It can work with the eMMC flash on the CM4 module Display I/F 1x HDMI 2.0 Type-A port up […]

ROCK Base triple-frequency RTK/GNSS base station works with Web3 GEODNET decentralized network

ROCK Base RTK network base station

ROCK Robotic has announced the ROCK Base triple-band multi-constellation RTK/GNSS base station that works with the Web3 GEODNET decentralized GNSS reference network, with the solution designed to offer centimeter accuracy to support applications such as civil surveying, high-definition mapping, digital twin creation, and robotic solutions. Real-time Kinematic (RTK) is a relative positioning technique relying on GNSS (GPS,  Galileo, GLONASS, Beidou …) and allowing centimeter positioning accuracy. The technique requires an RTK “Base station” like the ROCK Base and a lower-cost “Rover station” typically attached to a vehicle or drone. For higher accuracy, it’s also possible to use a Network RTK: Network RTK is based on the use of several widely spaced permanent stations. Data from reference stations is combined in a common data processing in a control center. The control center computes corrections for the spatially correlated errors within the network. These corrections are transmitted to the rover. Comparing to […]

MistySoM Renesas RZ/G2L or RZ/V2L SoM and devkit goes for $112 and up

MistySOM devkit Renesas RZ/G2L or RZ/V2L

We’ve previously written about several system-on-modules and SBCs based on Renesas RZ/G2L or RZ/V2L Cortex-A55/M33 processors such as Geniatech “AHAURA” RS-G2L100 and “AKITIO” RS-V2L100 single board computers, Forlinx FET-G2LD-C system-on-module, and SolidRun RZ/G2LC SOM and devkit. But most of those are hard to buy, and you need to contact the company, discuss your project, etc… before purchase, except for the SolidRun Renesas RZ/G2LC Evaluation Kit going for $249. Another option is the MistyWest MistySOM module offered for $112 and up on GroupGets with either Renesas RZ/G2L or RZ/V2L processor, as well as an optional carrier board. MistySOM system-on-module MistySOM-G2L (aka MW-G2L) and MistySOM-V2L (aka MW-V2L) specifications: SoC – Renesas RZ/G2L or RZ/V2L with dual-core Cortex-A55 processor @ 1.2 GHz, Arm Cortex-M33 core @ up to 200 MHz, Arm Mali-G31 GPU, and DRP-AI vision accelerator (RZ/V2L only) System Memory – 2GB LPDDR4/DDR4 Storage – 32GB eMMC flash 2x 120-pin high-speed mezzanine […]

ASRock NUC 1300 BOX/ NUCS 1300 BOX mini PCs are powered by Intel Raptor Lake-P mobile processors

ASRock Raptor Lake-P mini PC

ASRock Industrial NUC 1300 BOX and NUCS 1300 BOX series mini PCs are equipped with Intel 13th generation Raptor Lake-P mobile processors up to the Core i7-1360P 12-core hybrid processor with four Performance cores and eight Efficiency cores. Yesterday, we wrote about the ADLINK Express-RLP COM Express module based on Raptor Lake-P embedded or industrial processors, but ASRock decided to use Raptor Lake-P mobile processors in their industrial “fanned embedded box PCs” coupled with up to 64GB DDR5/DDR4 memory, and featuring high-speed interfaces such as USB4, 2.5GbE, and more. NUCS 1300 BOX Series Two NUCS 1300 Box models are available with either an Intel Core i7-1360P or i5-1340P processor. NUCS 1300 Box specifications: Raptor Lake-P SoC NUCS BOX-1340P/D4 – Intel Core i5-1340P 12-core (4P @ 1.9/4.6 GHz + 8E @ 1.4/3.4 GHz) processor with 80EU Intel Iris Xe Graphics; PBP:  28W, MTP: 64W NUC BOX-1360P/D4 – Intel Core i7-1360P 12-core […]

$150 Axelera M.2 AI accelerator module claims to deliver up to 214 TOPS

Axelera M.2 AI accelerator

Axelera M.2 AI accelerator module is said to deliver up to 214 TOPS of AI inference and up to 3200 FPS with ResNet -50 in a compact M.2 2280 form factor. Few details are available at this time, but the module is based on the company’s Metis AIPU (AI Processing Unit) using in-memory computing based on arrays of SRAM memory devices used to “store a matrix and perform matrix-vector multiplications “in-place” without intermediate movement of data”. This technology is said to “radically” increase the number of operations per computer cycle with without suffering from issues such as noise or lower accuracy. The Metis AI platform delivers 50+ TOPS per core (RISC-V-controlled dataflow engine), offers FP32 equivalent accuracy, and has a 15 TOPS/W energy efficiency. The last point is impressive, but that means 214 TOPS won’t be reachable with the module shown above, since the M.2 form factor is designed to […]

EdgeBox-ESP-100 – An ESP32-S3 industrial controller with RS485, CAN Bus, DIO, 4G LTE, and more

ESP32-S3 industrial edge controller

We’ve previously covered the EdgeBox-RPi4 industrial controller powered by a Raspberry Pi Compute Module 4 and plenty of I/Os such as RS485, RS232, digital inputs and outputs, and connectivity options such as Gigabit Ethernet, WiFi 5, Bluetooth 5, and 4G LTE. But if you don’t quite need the power of a Linux controller, the EdgeBox-ESP-100 industrial edge controller based on an ESP32-S3 dual-core WiFi and Bluetooth microcontroller and offering a similar set of features, albeit with twists, may be an interesting option. EdgeBox-ESP-100 specifications: Microcontroller – Espressif Systems ESP32-S3 dual-core Tensilica LX7 microcontroller @ 240 MHz with AI vector instructions, 512KB RAM Memory – 8MB PSRAM Storage – 16MB Flash Network connectivity 10/100M Ethernet RJ45 port 2.4 GHz WiFi 4 and Bluetooth 5.0 LE via ESP32-S3 4G LTE cellular via SIMCom A7670G LTE Cat 1 module Optional support for LoRa (replaces the A7670G module) Serial & I/Os via terminal blocks […]

JetHome JetHub D1+ automation controller runs Armbian with mainline Linux, supports Home Assistant

JetHub D1+ Linux 6.1 automation controller

Earlier this year, we noted the addition of the JetHome JetHub D1 Linux-based home automation controller to mainline Linux 5.16, and the JetHome JetHub D1p (D1+) was just added to Linux 6.1 with some improvements. Still based on the Amlogic A113x processor, the JetHub D1+ gets more memory and storage with 2GB DDR4 RAM and 32GB eMMC flash, a MicroSD card slot, a new RTL8822CS wireless module, and a micro USB port to easily access the console and/or flash firmware to the device. JetHub D1+ specifications: SoC – Amlogic A113x quad-core Cortex A53 processor @ up to 1.5 GHz System Memory – 2GB DDR4 Storage – 32GB eMMC flash, MicroSD slot Connectivity 10/100M Ethernet RJ45 port Dual-band WiFi 5 up to 867 Mbps and Bluetooth 4.2/5.0 (RTL8822CS) Texas Instruments CC2652P1 Zigbee 3.0 module USB 1x USB 2.0 Type-A host port for peripherals 2x Micro USB ports one console access and […]

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