Arduino Nano 33 BLE Rev2 board features BMI270 six-axis IMU and BMM150 magnetometer

Arduino Nano 33 BLE Rev2

Arduino Nano 33 BLE Rev2 is an update to the Arduino Nano 33 BLE board launched in 2019 that features two IMU sensors instead of one with the BMI270 6-axis accelerometer and gyroscope and the BMM150 3-axis magnetometer and also comes with a few changes made after feedback from users. The new board is still powered by an nRF52840 Bluetooth LE module (u-Blox NINA B306) and remains Arduino Nano compatibility with two rows of 15-pin headers, but replaces the 9-axis IMU with the BMI270 and BMM150 chips, adds new pads and test points for USB, SWDIO, and SWCLK, a new VUSB soldering jumper, and brings changes to the power circuitry. Arduino Nano 33 BLE Rev2 specifications: Wireless Module – U-blox NINA B306 module SoC – Nordic Semi nRF52840 MCU Core – Arm Cortex-M4F microcontroller @ 64MHz Memory and storage – 1MB Flash, 256KB RAM Bluetooth 5.0 LE Up to 2 […]

Inventia MT-058 cellular IoT telemetry module is powered by Nordic Semi nRF9160 SiP

MT 058 – battery powered telemetry module

A few days back, Inventia introduced the MT-058 cellular IoT telemetry module built around Nordic Semiconductor’s nRF9160 System in Package (SiP) module with support for LTE-M/NB-IoT connectivity with GNSS. The device is designed for low-power, battery-operated industrial applications such as water metering and environmental monitoring. The module is IP68-rated and offers a combination of digital and analog inputs. It also comes with a battery that can last up to 5 years and there is also support for external sensor attachment for data logging applications. MT-058 Cellular IoT telemetry module specification: Nordic nRF9160 SiP with 64 MHz Arm Cortex-M33 application processor with 1 MB flash, and 256 KB RAM Connectivity – LTE Cat M1 and NB-IoT SIM card options – Standard 2FF SIM card slot, with an option for a soldered Machine Identification Module (MIM). Antenna – SMA connector for attaching an external antenna. Inputs – 5 inputs for counters, up […]

$166 Mustool MT13S thermal imager doubles as multimeter

Mustool MT13S 2-In-1 Thermal Imager Multimeter

Mustool MT13S is a relatively inexpensive 2-in-1 thermal imager and multimeter with a 2.8-inch touchscreen display and an IR camera with a 192×192 resolution. Thermal cameras used to be quite expensive, but in recent years, we’ve seen cheaper models such as the HT-102 thermal camera for Android smartphones and M5Stack T-Lite Wi-Fi thermal camera, but those integrate fairly small 32×32 and 32×24 pixels IR arrays, The Mustool MT13S provides a higher resolution 192×192 thermal camera and doubles as a 10,000-count multimeter for about $166 plus shipping on Banggood or around $177 including shipping on Aliexpress. Mustool MT13S specifications: Thermal imaging Sensor – Uncooled focal plane Image capture frequency – 20Hz Thermal imaging resolution – 192 x 192 Display image resolution – 240 x 240 Field of view (FoV) – 50.0(H) × 50(V)/72.1(D) Emissivity – 0.1-0.99 is tunable and 0.95 is the default Temperature Range – -20°C to +550°C Accuracy – […]

Doly – A cute little autonomous AI-powered robot based on Raspberry Pi CM4 module (Crowdfunding)

Doly Raspberry Pi CM4 robot

Limitbit Doly is a cute little autonomous robot with two continuous tracks, two small arms controlled by servos, two round color displays acting as the eyes, and various sensors, all controlled by a Raspberry Pi CM4 system-on-module. The robot can be used for STEM (Science, Technology, Engineering, and Mathematics) education or as a developer platform. AI workloads can also run on the Raspberry Pi CM4 module taking sensors, camera, and microphone inputs, with the robot interacting with the user through the built-in stereo speaker and two eyes. In practice, that means Doly supports features such as face recognition and smart audio with the robot capable of recognizing its owner and responding to voice commands. Doly specifications: System-on-Module – Raspberry Pi CM4 Lite model CM4101000 (1GB RAM, Wireless) by default, but also supports other CM4/CM Lite modules with wireless Storage – MicroSD card slot Display – 2x high-resolution color displays (the […]

STMicro STM32WL5MOC SiP Module is pre-certified for LoRaWAN & Sigfox networks

STM32WL5MOC wireless prototyping board

STMicroelectronics has recently introduced the STM32WL5MOC system in package (SiP) module with a dual-core STM32 microcontroller, sub-1 GHz RF radio, power supply, and passive components into a 10×10 mm LGA package. According to ST, the new chip uses the STM32WL module which we have seen used in Arduino MKR-inspired MKR Windy board, smart building, and many other LoRa devices. STMicroelectronics’ STM32WL, an Arm Cortex-M0+ microcontroller, operates in sub-GHz ISM bands (413-479MHz, 826-958MHz, and 169MHz later in 2024) for protocols like wireless M-Bus (mode N) and Wize. It supports multi-protocol and multi-modulation (4-(G)FSK, 2-(G)FSK, (G)MSK, DBPSK, DSSS, OOK, ASK) for various wireless standards (Sigfox, KNX, WiSun, mioty, M-Bus, etc.) and introduces power-saving features for up to 15 years of battery life. STM32WL5MOC SiP module specifications: Core Specifications:  STM32WL55JC SoC with 32-bit Arm Cortex-M4 and Cortex-M0+ CPUs, up to 48 MHz. Adaptive real-time accelerator (ART Accelerator) for efficient flash memory execution. DSP instructions […]

NXP launches MCX A14x and MCX A15x Arm Cortex-M33 MCUs along with FRDM-MCXA153 development board

FRDM-MCXA153 MCX development board

NXP has just announced the launch of the MCX A series Arm Cortex-M33 microcontrollers with the MCX A14x running up to 48 MHz and the MCX A15x running up to 96 MHz. The devices support up to 128KB flash and 32KB SRAM, offer I2C, I3C, and SPI sensor interfaces, and integrate support for BLDC/PMSM motor control. NXP first unveiled the NXP MCX general-purpose Arm MCU family with 30 times faster machine learning at Embedded World 2022, but at the time we had limited information although four series were planned with the MCX N Advanced series up to 250 MHz, the MCX A essential series up to 96 MHz, the MCX W Wireless series with Bluetooth LE, and the MCX L Low-power series. The MCX A series has just been launched, and the high-end MCX N also has its own product page with the N94x and N54x variants. We’ll focus on […]

Review of SONOFF SNZB-03P new Zigbee motion sensor with eWelink and Home Assistant

Sonoff SNZB-03P Cover

SONOFF continues to release new Zigbee products series including the wireless switches/buttons (SNZB-01P) and temperature and humidity sensors (SNZB-02P) that we reviewed last year. Today, we will review another new sensor, that is the Zigbee 3.0 motion sensor (SNZB-03P) and we’ll need a Zigbee Hub/Bridge/Dongle to receive Zigbee signals to make it work. The technology of this sensor remains PIR, which uses infrared waves similar to before. This is different from the Human Presence sensors that are gaining popularity, which use mmWave (millimeter wave, frequency 3-30GHz). Both types have their pros and cons. SONOFF has also recently released a Human Presence sensor, namely the SNZB-06P which we will review soon. The SONOFF SNZB-03P is suitable for applications where motion needs to be detected (staying standstill won’t work) and places where it is not feasible or practical to run power cables. The latter is advantageous compared to Human Presence sensors because […]

SunFounder PiCar-X 2.0 review – A Raspberry Pi 4 AI robot car programmable with Blockly or Python

SunFounder PICAR-X Robot review

SunFounder PiCar-X 2.0 is an AI-powered self-driving robot car using the Raspberry Pi 3/4 as the main processing board. It is equipped with a camera module that can be moved by a 2-axis servo motor, allowing the camera to pan or tilt, an ultrasonic module for detecting distant objects, and a line detection module. The PiCar-X robot can also perform computer vision tasks such as color detection, face detection, traffic signs detection, automatic obstacle avoidance, and automatic line tracking. The PiCar-X can be programmed with two computer languages: Blockly-based Ezblock Studio drag-and-drop program and Python, and the robot works with OpenCV computer vision library and TensorFlow for AI workloads. Finally, you can also control the robot through the SunFounder controller application on your mobile phone. The company sent us a sample of the Picar-X 2.0 for review, so let’s get started. SunFounder PiCar-X 2.0 robot overview The PiCar-X robot kit […]

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