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February 27, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

8K AI embedded computer gets 4K HDMI input, WiFi 6, dual GbE interfaces, and more

Firefly EC-A3588Q 8K AI Embedded Computer

Firefly EC-A3588Q is a fanless 8K AI embedded computer powered by a Rockchip RK3588 processor and fitted with up to 32GB RAM, SATA or NVMe storage, offering dual Gigabit Ethernet, WiFi 6, Bluetooth 5.0, and optional 5G/4G cellular connectivity, dual 8K video outputs, etc… It is a higher-end and larger version of the Firefly EC-R3588SPC industrial mini PC based on the Rockchip RK3588S processor that adds a 4K HDMI input port, a VGA output port, gets two GbE interfaces and support for WiFi 6/Bt 5.0, offers more USB ports, and replaces some terminal blocks with DB9 interfaces for RS232, RS485, and CAN Bus interfaces. Firefly EC-Q3588Q specifications: SoC – Rockchip RK3588 octa-core processor with CPU – 4x Cortex-A76 cores @ up to 2.4 GHz, four Cortex-A55 cores @ up to 1.8 GHz GPU – Arm Mali-G610 MP4 quad-core GPU with OpenGL ES3.2 / OpenCL 2.2 / Vulkan1.1 support AI accelerator […]

February 22, 2023February 22, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Embit EMB-LR1280-mPCIe-4x is a 2.4GHz LoRa mPCIe module based on Semtech SX1280 chipset

Embit EMB-LR1280-mPCIe-4x is an mPCIe (mini PCIe) module based on four Semtech SX1280 2.4 GHz LoRa transceivers and designed for OEM gateways that can work worldwide thanks to the use of the 2.4GHz ISM band and supports ranging. We first covered 2.4GHz LoRa and the SX1280 transceiver two years ago as a solution to design region-independent products specially suited to maritime and intercontinental logistics applications. We haven’t seen it used that much although we covered an ESP32 board with SX1280 last year, and it turns out that Italian company Embit has also made a mPCIe module based on the SX1280 chipset. Embit EMB-LR1280-mPCIe-4x specifications: LoRa connectivity Chipsets – 4x Semtech SX1280 transceiver with 3x LoRa Rx Channels + 1x LoRa Tx Modulation – LoRa Spread Spectrum Frequency – 2.4 GHz ISM band Frequency Range – 2400 to 2500 MHz RF Output power – Up to +12 dBm Sensitivity -129 dBm […]

January 26, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

ESP32 OpenMQTTGateway smart plug acts as an BLE MQTT gateway and a 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 […]

January 17, 2023January 17, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

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

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 […]

January 11, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

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

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 […]

January 10, 2023January 10, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

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 […]

January 4, 2023January 6, 2023 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

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

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 […]

January 2, 2023January 7, 2023 by Jean-Luc Aufranc (CNXSoft) - 14 Comments

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

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 […]