Last week, we wrote about the new XIAO ESP32S3, a tiny ESP32-S3 board from Seeed Studio. The company has now launched the XIAO ESP32S3 Sense adding a camera and microphone module connected through a board-to-board connector, as well as the Round Display for XIAO that can help people easily create wearable devices with a touchscreen based on any board from the XIAO family. XIAO ESP32S3 Sense XIAO ESP32S2 Sense specifications: Wireless MCU – Espressif Systems ESP32-S3R8 dual-core Tensilica LX7 microcontroller @ 240 MHz with 512KB SRAM, 8MB PSRAM, Wi-Fi 4 & Bluetooth 5.0 dual-mode (Classic + BLE) connectivity Storage – 8MB SPI flash, microSD card slot Antenna – External u.FL antenna USB – USB Type-C port for power and programming Camera – OV2640 camera sensor up to 1600×1200 resolution Audio – Built-in digital microphone Expansion I/Os 2x 7-pin headers with 1x UART, 1x I2C, 1x SPI, 11x GPIO (PWM), 9x […]
Arduino UNO R4 Renesas RA4M1 32-bit maker board offered with optional ESP32-S3 WiFI & BLE module
Arduino have launched an upgrade to their 8-bit Arduino UNO R3 board with the Arduino UNO R4 featuring a 48 MHz Renesas RA4M1 Arm Cortex-M4F 32-bit microcontroller, and an optional ESP32-S3 module for WiFi 4 and Bluetooth 5.0 connectivity. The new Arduino UNO R4 offered improved performance and greater resources since the MCU is clocked three times faster than the 8bit AVR MCU found in the UNO R3, the board gets sixteen times more RAM (32KB vs 2KB to 32kB) and eight times more flash memory (256KB vs 32kB). The USB Type-B device port has been upgraded to a more modern USB Type-C port and the UNO R4 can take up to 24V supply voltage. Arduino UNO R4 (preliminary) specifications: Microcontroller – Renesas RA4M1 Arm Cortex-M4F MCU @ 48 MHz with 32KB SRAM, 256KB flash. 8KB dataflash Wireless (Arduino UNO R4 WiFi only) – ESP32-S3-MINI-1 module based on ESP32-S3 dual-core […]
XIAO ESP32S3 is a tiny ESP32-S3 WiFi 4 and BLE 5.0 module for IoT, AI, and robotics
Seeed Studio XIAO ESP32S3 is the new member of the company XIAO family with an ESP32-S3 dual-core wireless microcontroller with WiFi 4 and BLE 5.0 designed for Smart Home, IoT, wearables, and Robotics applications. It succeeds the single-core ESP32-C3-based XIAO ESP32C3 board with the same form factor, but the new XIAO ESP32S3 offers more performance, vector extension for machine learning, more flash, and improved power consumption in deep sleep mode. Seeed Studio XIAO ESP32C3 specifications: Wireless MCU – Espressif Systems ESP32-S3R8 dual-core Tensilica LX7 microcontroller @ 240 MHz with 512KB SRAM, 8MB PSRAM, Wi-Fi 4 & Bluetooth 5.0 dual-mode (Classic + BLE) connectivity Storage – 8MB SPI flash Antenna – External u.FL antenna USB – USB Type-C port for power and programming Expansion I/Os 2x 7-pin headers with 1x UART, 1x I2C, 1x SPI, 11x GPIO (PWM), 9x ADC 3.3V I/O voltage (not 5V tolerant) Debugging – JTAG pads Misc […]
Portenta C33 is a lower cost Arduino Pro board based on Renesas RA6M5 Arm Cortex-M33 MCU
Arduino Portenta C33 is the latest board from the Arduino Pro family which the company dubs a “high-performance, low-price” solution based on a 200 MHz Renesas RA6M5 Arm Cortex-M33 microcontroller and equipped with a ESP32-C3 Wi-Fi and Bluetooth Low Energy module. The new board provides a cost-effective alternative to the Portenta H7 and X8 boards, but still offers wireless connectivity, a secure element for industrial-grade security, and compatibility with Portenta, MKR, and Nicla components. Portenta C33 specifications: Microcontroller – Renesas R7FA6M5BH2CBG Arm Cortex-M33 microcontroller @ up to 200 MHz with 512KB SRAM, 2MB Flash, Arm TrustZone, and Secure Crypto Engine 9 Storage – 16 MB QSPI Flash Connectivity 10/100M Ethernet PHY ESP32-C3 WiFi and BLE module USB – 1x USB Type-C high-speed port with Power Delivery support I/Os via 2x 80 pin high-density connectors, Arduino MKR headers with castellated hole, and a 5-pin I2C connector Storage – SD Card Networking […]
Aspinity AB2 AML100 Arduino Shield supports ultra-low-power analog machine learning
Aspinity AB2 AML100 is an Arduino Shield based on the company’s AML100 analog machine learning processor that reduces power consumption by 95 percent compared to equivalent digital ML processors, and the shield works with Renesas Quick-Connect IoT platform or other development platforms with Arduino Uno Rev3 headers. The AML100 analog machine learning processor is said to consume just 15µA for sensor interfacing, signal processing, and decision-making and operates completely within the analog domain offloading most of the work from the microcontroller side that can stay its lowest power state until an event/anomaly is detected. Aspinity AB2 AML100 Arduino Shield specifications: ML chip – Aspinity AML100 analog machine learning chip Software programmable analogML core with an array of configurable analog blocks (CABs) with non-volatile memory and analog signal processing Processes natively analog data Near-zero power for inference and events detection Consumes <20µA when always-sensing Reduces analog data by 100x Supports up […]
Arduino UNO compatible Adafruit Metro M7 features 500 MHz NXP i.MX RT1011 Cortex-M7 SoC
Adafruit Metro M7 is a development board based on a 500 MHz NXP i.MX RT1011 Arm Cortex-M7 crossover MCU that follows Arduino UNO form factor and integrates the ESP32-based “AirLift” WiFi module for wireless connectivity. The board also comes with 4MB QSPI storage, a few LEDs and buttons, a Qwiic connector for additional expansion beyond Arduino Shields, and an SWD connector for debugging. The board takes 6V to 12V DC input via a power barrel jack, but can also be powered through its USB Type-C port. Adafruit Metro M7 specifications: SoC – NXP iMX RT1011 crossover microcontroller with an Arm Cortex-M7 clocked at 500 MHz and 128KB SRAM/TCM Storage – 4MB of QSPI XIP Flash Wireless – AirLift WiFi co-processor with TLS/SSL support (better known as ESP32-WROOM-32) USB – 1x USB Type-C port for power and programming Expansion Arduino UNO headers for Arduino shields compatibility STEMMA QT connector for I2C […]
Home Assistant compatible “ESP 360 Remote” controls infrared and 433MHz appliances over WiFi (Crowdfunding)
ESP 360 Remote is an ESP32-based IR and 433 MHz RF remote with built-in sensors used to control home appliances over WiFi and that also integrates with Home Assistant open-source home automation framework. The open-source hardware design is comprised of a mainboard with an ESP32-WROOM-32E module, temperature, humidity, and light sensors, and a board on the top with nine infrared LEDs, one IR receiver, as well as a 433 MHz (or 315 MHz) RF receiver and transmitter with the receivers used for learning the code from the remote controls. ESP 360 Remote specifications: Wireless module – ESP32-WROOM-32E with ESP32 dual-core microcontroller 4MB flash 2.4 GHz WiFi and Bluetooth LE connectivity, built-in PCB antenna, fully compatible with ESPHome firmware Control interface 9x High Power IR LEDs to control devices in all directions (hence the 360 name) IR receiver to learn remote control codes 433 MHz (or 315 MHz) RF transmitter 433 […]
Riotee batteryless stackable IoT board embeds an nRF52833 module (Crowdfunding)
Nessie Circuits’ Riotee board features a Riotee module based on Nordic nRF52833 WiSoC with a 2.4 GHz radio that targets batteryless IoT applications thanks to a stackable design taking a capacitors add-on board and a solar panel. Batteries introduce maintenance costs and environmental issues with millions of batteries disposed of every day. That’s why companies are trying to provide solutions for batteryless IoT designs such as the Everactive batteryless IoT devkit or Telink energy harvesting wireless module for remote controls. The Riotee module, board, and ecosystem also aim to play their part in reducing the use of batteries in wireless IoT devices. Riotee board specifications: Riotee module Wireless MCU – Nordic nRF52833 Arm Cortex-M4F microcontroller @ 64 MHz with 512 kB flash, 128 kB RAM, 2.4 GHz radio Memory – 128 kB of non-volatile memory (MSP430FR5962 FRAM) for “automatic checkpointing of application state” Castellated holes with 11x GPIOs including two […]