IoT development board comes with AVR or PIC MCU, WiFi module

AVR-IoT and PIC-IoT Development Boards

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

AWS IoT EduKit

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

LG8111 AI Soc Development Board Eris

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

nRF9160 Xbee Module

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 […]

Notecard LTE Cat-M / NB-IoT M.2 modem sells for $49+ with 10 years of connectivity

Notecard LTE Modem

If the IoT is ever going to take off, it needs low-cost hardware and connectivity. LoRaWAN is free, apart from the hardware costs, but for projects that need wider coverage and/or higher bitrate cellular connectivity is the way to go and we’ve seen in the past that Hologram offers a free developer SIM card for global IoT projects plus some low-cost cellular IoT plans, as well as 1CNE plans to offer a 10-year plan for 10 Euros. Blues Wireless has taken a different approach as they combine hardware and cellular connectivity with their Notecard LTE-IoT modems (LTE Cat 1/Cat M or NB-IoT) shipping for 10 years of connectivity for up to 500MB data. Notecard has four variants with the following key features and specifications: MCU – Arm Cortex-M4 MCU with 2MB flash Cellular connectivity NOTE-NBGL-500 – Narrowband Cat-M/NB-IoT/GPRS (Global) via  Quectel BG95-M3 modem NOTE-NBNA-500 – Narrowband Cat-M/NB-IoT (North America) via […]

LwM2M v1.2 M2M & IoT device management protocol adds support for HTTP and MQTT, LwM2M gateways

LwM2M v1.2

Lightweight M2M (LwM2M) is a REST-based protocol from the Open Mobile Alliance (OMA) for M2M & IoT device management that defines the application layer communication protocol between an LwM2M server and an LwM2M client running on an IoT/embedded device. While LwM2M v1.0 was published in early 2017, we first covered the new protocol a year earlier as Imagination Technologies released the source code for the LwM2M stack running on MIPS Creator Ci40 development board.  Since then we’ve mostly seen the LwM2M protocol supported in cellular LTE IoT modules including Quectel BC66 and u-Blox Sara-R410M, as well as the now-defunct Samsung Artik WiFi IoT modules. LwM2M v1.0 was followed by v1.0.1 and v1.0.2 for bug fixes, and v1.1, but OMA has now announced LwM2M v1.2 protocol that adds the following new features: New transports for LwM2M: MQTT and HTTP Optimizations for the bootstrapping and registration interfaces to reduce the amount of […]

Raspberry Pi CM3 “Industrial IoT” baseboard features PoE, 4G LTE modem, and isolated I/Os

Raspberry Pi CM3+ PoE 4G LTE

The Raspberry Pi Computer Module 4 (CM4) may have been introduced in October, but that does not mean people have stopped all development on Raspberry Pi CM3/CM3+ hardware, and Waveshare has just launched a carrier board for the module with PoE support and a 4G LTE modem namely Simcom SIM7600G-H module with 3G and 2G fallback. The board also offers Ethernet and WiFi connectivity, HDMI and MIPI CSI/DSI video interfaces, multiple USB ports, as well as isolated CAN bus, RS485, RS232, and other I/Os for industrial applications. Compute Module PoE 4G board specifications: Storage – MicroSD card slot for Raspberry Pi CM3 Lite / CM3+ Lite modules Video Output – HDMI 2.0 port, MIPI DSI connector compatible with the official Raspberry Pi display Audio – 3.5mm stereo audio jack, 4-pin speaker connector for 8Ω/5W speaker Camera I/F – 2x independent MIPI CSI ports Connectivity 10/100M Ethernet RJ45 port with PoE […]

Detecting & Solving Security Issues in IoT and Embedded Devices

need for device security

Last year’s Eclipse IoT Survey Report shows evidence that security is one of the major reasons for the development of IoT devices. As the number of IoT and embedded devices increases, we see a constant increase in the need for security issues in IoT and embedded devices. There have been increasing security expectations from device end customers and buyers to gain security insights and risks related to their connected devices. Security requires time and effort, so when a new product is launched in the market for business reasons, security compromises may have to be made. Also, organizations don’t have the capabilities and tools to get in-depth information about connecting device security. This is mainly due to the complex chain of third-party products. Methods for Detecting Security Issues Software Composition Analysis (SCA) allows organizations to identify third-party components that have been integrated into all applications. For each of these components, it […]

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