Arduino News - Page 39 of 116 - CNX Software

September 6, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Sensirion SCD40 CO2 sensor units for makers: M5Stack UNIT CO2 and TeHyBug ESP8285 device

We just wrote about the Infineon XENSIV PAS CO2 Shield2Go board to measure carbon dioxide (CO2) levels last week, but I’ve just come across two more hardware with a CO2 sensor designed for makers, but based on Sensirion SCD40 sensor instead, and mostly designed to monitor indoor CO2 levels since high concentrations may impact your health negatively. The first one is the M5Stack UNIT CO2 that’s designed to be connected to one of the company’s Core modules through an I2C interface, and TeHyBug portable mini sensor device equipped with ESP8285 WiFi microcontroller, as well as optional AHT10 temperature & humidity sensor and BMP280 pressure sensor, besides the SCD40 sensor. M5Stack UNIT CO2 Specifications: Sensirion SCD40 sensor CO2 Measurement range – 400 ~ 2000 ppm CO2 Sampling accuracy – ±(50 ppm + 5% of reading) Temperature range – -10 – 60°C with 0.8°C accuracy Humidity range – 0 – 95% RH […]

August 31, 2022August 30, 2022 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Infineon XENSIV PAS CO2 Shield2Go board enables carbon dioxide measurements

Infineon has added new a shied to its Shield2Go ecosystem with the XENSIV PAS CO2 Shield2Go board integrating the company’s XENSIV PAS CO2 sensor capable of measuring carbon dioxide levels. We first wrote about the Shield2Go module with the OPTIGA Trust-M evaluation kit integrating a security module, but the family also includes various sensors shield and microcontroller boards notably the XMC 2Go board. The new Shield2Go board can be used for both air quality monitoring and controlled ventilation for energy savings. XENSIV PAS CO2 Shield2Go board specifications: XENSIV PAS CO2 sensor: Accuracy – ±30 ppm ±3% “Advanced compensation and self-calibration algorithms” Host interfaces – UART, I2C, PWM Dimensions – 14 x 13.8 x 7.5 mm 19x through holes and castellated holes with I2C, UART, PWM, interrupt, 5V, 3.3V, GND, plus SWD interface Power Supply 5V DC input 12V DC DCDC boost converter to power the IR transmitter in […]

August 30, 2022August 30, 2022 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

ESP32 board supports 2.4Ghz LoRa with SX1280 RF transceiver

We’ve seen plenty of ESP32 LoRa boards with the traditional 433 MHz, 868 MHz, or 915MHz frequencies, but I think LilyGO LoRa V1.8 (aka T3 V1.8) is the first ESP32 board that integrates a Semtech SX1280 transceiver for the 2.4GHz LoRa standard used for global coverage, notably maritime applications, and ranging. The ESP32 & SX1280 board also offers 26 pins for expansion, a microSD card for data storage, a 2-pin connector for batteries, a 0.96-inch OLED for information display, and comes with a 3D antenna and u.FL connector for WiFi and Bluetooth, and an SMA antenna for LoRa connectivity. LilyGO LoRa/T3 V1.8 specifications: SoC – Espressif ESP32 dual-core Xtensa LX6 processor with 2.4 GHz WiFi 4 and Bluetooth 4.2 Storage – 4MB SPI flash, microSD card slot Display – 0.96-inch OLED display with 128×64 resolution (SSD1306 I2C driver) Connectivity 802.11 b/g/n WiFi 4 up to 150 Mbps + Bluetooth 4.2 […]

August 28, 2022November 28, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

$7 Lolin S3 ESP32-S3 board ships with MicroPython firmware

Lolin S3 is the first ESP32-S3 board from the company, but instead of using the more compact D1 mini form factor, the board features a longer design with two rows of 20 pins offering up to 31 GPIOs. Based on ESP32-S3-WROOM-1 module, the board features 16MB QSPI flash, 8MB SPRAM, two USB Type-C OTG and UART ports, a Lolin I2C port, an RGB LED, as well as Reset and user buttons. Lolin S3 specifications: Wireless module – ESP32-S3-WROOM-1 module with: Espressif Systems ESP32-S3 dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration, 512KB RAM, 2.4 GHz WiFi 4 and Bluetooth 5.0 LE with support for long-range, up to 2Mbps data rate, mesh networking 16MB QSPI flash 8MB PSRAM PCB antenna USB – 2x USB Type-C ports, one OTG port, one UART port for programming and debugging Expansion 2x 20-pin headers with up to 31x GPIO, […]

August 23, 2022November 15, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

AI, computer vision meet LoRaWAN with SenseCAP K1100 sensor prototype kit

Wio Terminal Grove Vision AI LoRaWAN module

CNXSoft: This is another tutorial using SenseCAP K1100 sensor prototype kit translated from CNX Software Thai. This post shows how computer vision/AI vision can be combined with LoRaWAN using the Arduino-programmable Wio Terminal, a Grove camera module, and LoRa-E5 module connecting to a private LoRaWAN network using open-source tools such as Node-RED and InfluxDB. In the first part of SenseCAP K1100 review/tutorial we connected various sensors to the Wio Terminal board and transmitted the data wirelessly through the LoRa-E5 LoRaWAN module after setting the frequency band for Thailand (AS923). In the second part, we’ll connect the Grove Vision AI module part of the SenseCAP K1100 sensor prototype kit to the Wio Terminal in order to train models to capture faces and display the results from the camera on the computer. and evaluate the results of how accurate the Face detection Model is. Finally, we’ll send the data (e.g. confidence) using […]

August 18, 2022December 4, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Getting Started with LoRaWAN on SenseCAP K1100 sensor prototype kit (Part 1)

CNXSoft: This getting started guide/review of the SenseCAP K1100 sensor prototype kit is a translation of the original post on CNX Software Thai. The first part of this tutorial describes the kit and shows how to program it with Arduino to get sensor data to a LoRAWAN gateway and display it on Wio Terminal, before processing the data in a private LoRaWAN network using open-source tools such as Grafana. The second part – to be published later – will demonstrate the AI capability of the kit. In the digital era where IoT and big data are more prevalent, a large amount of data is required to be collected through sensors. To enable the digital transformation, SeeedStudio’s SenseCAP K1100 comes with all necessary sensors and equipment including the Wio Terminal, AI Vision Sensor, and a LoRaWAN module. With this plug-and-play platform, makers can easily create DIY sensors for data collection and […]

August 12, 2022 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

LattePanda 3 Delta SBC combines Jasper Lake processor and Arduino compatible microcontroller

The LattePanda 3 Delta single board computer with an Intel Celeron N5105 Jasper Lake processor and an Arduino ATmega32U4 Leonardo compatible MCU that initially launched through a Kickstarter campaign in November 2021. The team behind the board has now announced the global availability of the Intel + Arduino SBC on DFRobot starting at $279 plus shipping, which we can compare to the $229 pledge asked during the crowdfunding campaign for reference. LattePanda 3 Delta 864 specifications remain the same also with a few extra details: SoC – Intel Celeron N5105 quad-core Jasper Lake processor @ 2.0GHz / 2.9GHz (Turbo) with Intel UHD graphics 605 @ 450 to 800 MHz; 10W TDP System Memory – 8GB LPDDR4 @ 2933 MHz Storage 64GB eMMC 5.1 flash Support for M.2 NVMe or SATA SSD (See Expansion section) MicroSD card socket MCU – Microchip ATmega32U4-MU 8-bit AVR Arduino Leonardo compatible microcontroller Video Output HDMI […]

August 11, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

AquaPing is an open-source, battery powered acoustic water leak detector module (Crowdfunding)

The AquaPing is an open-source hardware, ultra-low power acoustic water leak detector sensor based on Texas Instruments MSP430 microcontroller and a microphone that can detect leaks without having to do any plumbing, instead capturing audio for water leak detection, and it even works for leaks behind walls. All signal processing and analysis occur on the MSP430 MCU, so no audio is streamed to the cloud and eavesdropping is impossible, plus the sensor only captures high frequencies out of the range of normal conversations, so eavesdropping is not feasible, plus those higher frequencies are also said to provide highest sensitivity and reliability. AquaPing specifications: MCU – Texas Instruments MSP430FR5994 microcontroller to perform FFT spectral analysis (10x faster/efficient than ARM-Cortex M0+) Audio capture – MEMS microphone covered by a small rectangular plastic structure to form a Helmholtz resonator. Minimum detectable leak rate – 0.01 gpm (gallon per minute) depending on stand-off distance […]