Energous has launched the 2W PowerBridge transmitter that doubles the energizing capability of Energous’ 1W transmitter found in WattUp 1W active energy harvesting developer kit, the “Wirelessly powered sensor evaluation kit“, and various deployments in the field. Energous wireless transmitters are used in IoT applications across the supply chain, logistics, retail, industrial and agricultural industries, which benefit from lower maintenance and wiring costs, and the new 2W transmitter will provide better RF coverage and power levels. Energous further explains its 2W PowerBridge helps reduce the need for replaceable batteries and charging cables since it can power IoT devices at a distance in industrial, commercial, and residential settings leading to a reduced need for maintenance or human intervention, enabling a more automated workflow, and the deployment of “Active Energy Wireless Power Networks”. So while there will also be wasted energy with at-a-distance wireless power, it could still make financial sense for […]
SONOFF SNZB-02D review – A Zigbee temperature & humidity sensor with a 2.5-inch display
We’ve previously tested the SNZB-02 Zigbee temperature and humidity sensor with the SONOFF NSPanel Pro smart panel, but ITEAD has now launched the SONOFF SNZB-02D that integrated the same features plus a 2.5-inch display to visualize the data. They’ve sent us a SNZB-02 sample for review, so after listing the specifications we’ll test SONOFF’s latest Zigbee sensor with Home Assistant. SONOFF SNZB-02D specifications Display – 2.5-inch black&white display Connectivity – Zigbee 3.0 Sensors Temperature sensor with -9.9°C to 60°C range, ±0.2°C accuracy Humidity sensor with 5%—95%RH range, ±2%RH accuracy Battery – 3V CR2450 coin-cell battery good for about 2 years with a 5-second polling rate Dimensions – 62.5 x 59.5 x 18.5mm Material – PC Color: White Unboxing and first try We’ll find the sensor in the usual orange package used for Zigbee devices. The SNZB-02D sensor comes with a quick start guide and a pre-installed battery. Just pull the […]
$60 M5Stack CoreS3 ESP32-S3 IoT controller comes with 2-inch display, VGA camera, multiple sensors
M5Stack CoreS3 is a battery-powered ESP32-S3 IoT controller with WiFi and Bluetooth connectivity, a 2-inch touchscreen display, a 0.3MP camera, a microSD card slot for storage, several sensors, plenty of I/Os, a USB Type-C OTG port, as well as a 9V to 24V DC input port. That’s the second ESP32-S3 IoT controller from M5Stack we’ve seen this year, as the CoreS3 follows the smaller M5Stack AtomS3 with a 0.85-inch display, only a few I/Os, and fewer features overall although it does come with an IR transmitter that’s missing from the larger CoreS3. M5Stack CoreS3 specifications: Wireless MCU – Espressif Systems ESP32-S3FN16R8 dual-core 32-bit Xtensa LX7 microcontroller with AI vector instructions up to 240MHz, RISC-V ULP co-processor, 512KB SRAM, 2.4GHz WiFi 4 (802.11b/g/n), Bluetooth 5.0 BLE + Mesh, 16MB flash, 8MB PSRAM Antenna – Internal “3D” antenna Storage – MicroSD card slot Display – 2-inch display with 320×240 resolution via ILI9342C […]
HealthyPi 5 WiFi & BLE biosignal-acquisition sensor platform captures body temperature, ECG, PPG, SpO₂, and other vitals (Crowdfunding)
HealthyPi 5 is an open-source sensor platform for biosignal acquisition based on Raspberry Pi RP2040 microcontroller and ESP32-C3 WiFi & BLE module used to capture vitals such as electrocardiogram (ECG), respiration, photoplethysmography (PPG), oxygen saturation (SpO₂), and body-temperature data. It is a complete redesign of the HealthyPi v4 Raspberry Pi HAT with many of the same features. While the HealthyPi 5 also follows the Raspberry Pi HAT form factor and can be connected to a Raspberry Pi SBC to analyze the data, it can also be used as a standalone device with the processing handled by the RP2040 dual-core Cortex-M0+ microcontroller and connectivity through an ESP32-C3 wireless module, and data visualized on a 3.5-inch SPI display or a smartphone over WiFi or Bluetooth. HealthyPi 5 specifications: MCU – Raspberry Pi RP2040 dual-core Arm Cortex-M0+ microcontroller @ 133 MHz with 264 KB SRAM Wireless Module – ESP32-C3 RISC-V module with 2.4 […]
Makeblock Ultimate 2.0 review – A multi-function 10-in-1 educational robot kit
Makeblock Ultimate 2.0 is an educational robot kit that can be used to easily create up to 10 different types of robots. An Arduino-compatible Mega 2560 MCU board serves as the main controller and there are over 550 mechanical parts and electronic modules. The robot can drive up to 4 encoder and stepping motors, control up to 10 servo motors to work simultaneously, and can also be connected to Arduino and Raspberry Pi boards for more complex projects. The review/tutorial is fairly long, so if you are short on time, you can jump to different sections by clicking on some of the links below: MegaPi control board and main modules description mBlock 5 visual-programming IDE installation Programming of DC Encoder motors, Ultrasonic sensor, Line follower module, motion sensor, RJ25 adapter, and shutter module mBlock mobile app Building the ten models for the Makeblock Ultimate 2.0 robot kit (as shown in […]
Cytron CM4 Maker Board review – Part 2: NVMe SSD, RTC, Buzzer, Grove modules, ChatGPT…
We’ve already checked out Cytron’s CM4 Maker Board kit with a Raspberry Pi CM4 system-on-module and booted the system with the included 32GB “MAKERDISK” Class 10 microSD card preloaded Raspberry Pi OS in the first part of the review. For the second part of the CM4 Maker review, I’ve mostly used the 128GB NVMe SSD provided by the company and played with other features of the board including the RTC, the buzzer, some Seeed Studio grove modules, and even got help from ChatGPT for one of the Python programs I used. Booting Cytron CM4 Maker Board with the “MAKERDISK” NVMe SSD I connected several Grove modules with GPIO and I2C interfaces, a Raspberry Pi Camera Module 3, an Ethernet cable, two RF dongles for a wireless keyboard and mouse, an HDMI cable to a monitor, and finally inserted the provided 5V/3.5A USB-C power adapter. The MAKERDISK SSD comes with Raspberry […]
Tiny RASynBoard combines Renesas RA6M4 MCU with Syntiant NDP120 ML accelerator, WiFi & BLE module, and some sensors
Avnet RASynBoard is a tiny board that packs a lot of features in a 30x25mm form factor with a Renesas RA6M4 Cortex-M33 microcontroller, a Syntiant NDP120 Neural Decision Processor, a Renesas (Previously Dialog Semi) DA16600 Wi-Fi 4 & Bluetooth 5.1 combo module, and a 6-axis inertial measurement unit (IMU) and digital microphone from TDK. The RASynBoard is offered as part of an EVK with the Core Board described above plus an IO board with headers, a Pmod connector, a MikroE Shuttle Click header, a microSD card slot for storage, and a built-in debugger, plus two buttons and an RGB LED. RASynBoard specifications: Main microcontroller – Renesas RA6M4 Arm Cortex-M33 microcontroller @ 200 MHz with 1 MB flash memory, 256 KB SRAM ML accelerator – Syntiant NDP120 Neural Engine based on Syntiant Core 2 Deep Neural Network, Arm Cortex M0 and HiFi 3 DSP Wireless module – Renesas DA16600 2.4 […]
Arduino Nano 33 BLE Sense Rev2 switches to BMI270 & BMM150 IMUs, HS3003 temperature & humidity sensor
Arduino Nano 33 BLE Sense Rev2 is a new revision of the Nano 33 BLE Sense machine learning board with basically the same functionality but some sensors have changed along with some other modifications “to improve the experience of the users”. The main changes are that STMicro LSM9DS1 9-axis IMU has been replaced by two IMUs from Bosch SensorTech, namely the BMI270 6-axis accelerometer and gyroscope, and the BMM150 3-axis magnetometer, a Renesas HS3003 temperature & humidity sensor has taken the place of an STMicro HTS221, and the microphone is now an MP34DT06JTR from STMicro instead of an MP34DT05. All of the replaced parts are from STMicro, so it’s quite possible the second revision of the board was mostly to address supply issues. Arduino Nano 33 BLE Sense Rev2 (ABX00069) specifications: Wireless Module – U-blox NINA-B306 module powered by a Nordic Semi nRF52840 Arm Cortex-M4F microcontroller @ 64MHz with 1MB […]