Just a few days ago, we mentioned STMicro launched STM32WB5MMG wireless module to simplify Bluetooth LE, Zigbee, OpenThread connectivity by allowing 2-layer baseboards for the module. It turns out there’s also such a module from a third-party with namely Midatronics SharkyPro module based on STM32WB55, and the company also launched MKR SharkyPro I & II development boards following Arduino MKR form factor. MKR SharkyPro specifications: Wireless Module – SharkyPro module Wireless MCU – STMicro STM32WB55CG/CE dual-core Arm Cortex-M4 core at 64 MHz (application processor) and Arm Cortex-M0+ core at 32 MHz (network processor) with 512KB flash, 256KB SRAM Connectivity – Bluetooth 5.0 LE, Bluetooth Mesh 1.0, OpenThread, Zigbee, and other IEEE 802.15.4 proprietary protocols Antenna – Onboard chip antenna (SharkyPro I) or SMA antenna connector (SharkyPro I) Power 3.3V supply voltage Consumption – 13 nA in shutdown mode, 600 nA in Standby mode + RTC + 32 KB RAM Dimensions […]
$6 Rtlduino RTL8720DN dual-band WiFi IoT board features 2.4/5GHz Wireless MCU
There are plenty of WiFi modules for the IoT market, but those usually work at 2.4 GHz only. This may be an issue in areas where the 2.4 GHz spectrum is overcrowded. But two years ago, we were pleased to see the Ameba Z2 board offering dual-band (2.4GHz and 5Ghz) WiFi thanks to Realtek RTL8720CM wireless MCU, and last year, we discovered B&T BW16 dual-band IoT module based on RTL8720DN sold for under $4 before shipping. If you like the cheap price of the module, but do not feel like creating your own baseboard, or soldering wires to the module, you’ll be glad to know Rtlduino RTL8720DN board offers an easy way to evaluate RTL8720DN dual-band WiFi (and Bluetooth LE 5.0) microcontroller as it is fitted with a B&T BW16 module and comes in a form factor similar to NodeMCU ESP8266 board. Rtlduino RTL8720DN board Specifications: B&T BW16 wireless module […]
Open-source VSCP IoT/M2M automation framework supports Arduino, Raspberry Pi
VSCP (Very Simple Control Protocol) is an open-source IoT framework that works on development boards like Arduino or Raspberry Pi, and lets you control IoT home automation tasks. The framework is highly scalable, has a very low footprint, and as such is specially designed for resource-limited devices. VSCP is an open-source standard protocol for m2m, IoT and other remote control and measurement applications. It enables simple, low-cost devices to be networked together with high-end computers and/or to work as an autonomous system, whatever the communication media is. The VSCP Protocol has two levels: Level 1 and Level 2. The protocol was primarily used in CAN networks (that is Level 1 for tiny microcontrollers) because CAN is cheap and reliable with high efficiency. However, VSCP can be used for faster transport layers such as TCP/IP, so here comes Level 2 which achieves better performance. We have already seen Souliss, an open-source […]
ESP32-S3 dual-core WiFi and Bluetooth LE 5 SoC supports AI acceleration for AIoT applications
Back in September, we reported that Espressif Systems planned to release a new ESP32-S3 with “AI instructions and multi-CPU cores” with few other details, except the chip would also be part of the MINI-series wireless modules. Now we have many more details, as the Shanghai-based company has now officially announced ESP32-S3. The processor features dual Tensilica LX7 cores, 2.4 GHz WiFi 4 & Bluetooth 5 connectivity, and as expected supports AI instructions to cater to the AIoT (AI + IoT) market. ESP32-S3 key features and specifications: CPU Dual-core Tensilica LX7 up to 240 MHz with additional vector instructions for AI acceleration ULP core to handle low power modes Memory – 512 KB of internal SRAM Storage – Octal SPI flash and PSRAM support (supports larger, high-speed devices compared to ESP32) Connectivity 2.4 GHz 802.11 b/g/n Wi-Fi 4 with 40 MHz bandwidth support Bluetooth Low Energy (BLE) 5.0 connectivity with long-range […]
IoT development board comes with AVR or PIC MCU, WiFi module
Microchip AVR-IoT and PIC-IoT development boards have AVR and PIC MCUs respectively, which enables a simple interface between embedded applications and the cloud. The IoT development boards can securely transfer data to Amazon Web Services (AWS) IoT platform with a WiFi connection. The IoT development boards also include an onboard debugger which can be used to program and debug the MCUs without any need for external hardware. The IoT development boards also have an integrated lithium battery charger, which makes it a rechargeable device and allows easier deployment for a “ready-to-go solution.” The AVR-IoT WA development board integrates the ATECC608A CryptoAuthentication chip for security protocols and the ATWINC1510 Wi-Fi network controller for connectivity. The development board combines the ATmega4808 MCU 8-bit AVR MCU running at up to 20 MHz and offers a wide range of flash sizes up to 48 KB. The unit uses a “flexible and low-power architecture, including […]
AWS IoT EduKit leverages M5Stack Core2 ESP32 hardware
M5Stack Core2 is a neatly packed ESP32 IoT development kit with a 2-inch touchscreen display, motion sensor, a microphone., and a built-in battery that was launched last September. The hardware has been selected by Amazon Web Services and gone through some small modifications including the addition of a secure element, and a yellow paint job giving birth the the “AWS IoT EduKit” hardware and software solution designed to “learn how to build IoT applications using AWS services through a prescriptive learning program”. M5Stack Core2 for AWS IoT EduKit specifications are pretty similar, but with a few tweaks here and there: SoC – Espressif ESP32-D0WDQ6-V3 dual-core Xtensa LX6 processor clocked at up to 240MHz with 520KB SRAM, Wi-Fi, and dual-mode Bluetooth connectivity External Memory – 8MB PSRAM Storage – 16MB flash storage, MicroSD card slot up to 16GB Display – 2-inch IPS LCD screen with 320×240 resolution (ILI9342C driver), and touchscreen […]
LG launches LG8111 AI SoC and development board for Edge AI processing
LG Electronics has designed LG8111 AI SoC for on-device AI inference and introduced the Eris Reference Board based on the processor. The chip supports hardware processing in artificial intelligence functions such as video, voice, and control intelligence. LG8111 AI development board is capable of implementing neural networks for deep learning specific algorithms due to its integrated “LG-Specific AI Processor.” Also, the low power and the low latency feature of the chip enhances its self-learning capacity. This enables the products with LG8111 AI chip to implement “On-Device AI.” Components and Features of the LG8111 AI SoC LG Neural engine, the AI accelerator has an extensive architecture for “On-Device” Inference/Leaning with its support on TensorFlow, TensorFlow Lite, and Caffe. The CPU of the board comes with four Arm Cortex A53 cores clocked at 1.0 GHz, with an L1 cache size of 32KB and an L2 cache size of 1MB. The CPU also […]
Actinius launches nRF9160 SoM and XBee module with NB-IoT, LTE Cat-M, and GPS
Last year, Actinius launched Icarus IoT Board equipped with nRF9160 SiP providing GPS & NB-IoT connectivity in Adafruit Feather form factor. The company is now back with more compact Nordic Semi nRF9160 hardware, namely the tiny 28×18.5mm Icarus SoM with built-in eSIM, as well as Icarus Bee XBee module that incorporates Icarus SoM plus a nano-SIM slot, as well as an RGB LED and a user button. Icarus SoM The module comes with the following specifications: SiP – Nordic Semi nRF9160-SICA system-in-package with Arm Cortex-M33 MCU, 1024 KB flash, 256 KB SRAM, and LTE-M (eMTC), NB-IoT, and GPS connectivity Storage – 64Mbit SPI flash On-board eSIM Antennas – 2x u.FL connectors for LTE and GPS Sensor – Accelerometer I/Os – 2x 20 castellated holes with GPIOS, I2C, SWD, Reset, SIM card signals, and power pins Supply Voltage – 3.3V Dimensions – 28 x 18.5 mm The multi-layer module is designed […]