USB-C Digital Compass Module with STM32, HMC5883L, TM1637 Display, and Enhanced Power Protection (JLCPCB-Ready)

B2Bordjie 2.1.0 R2LNGB-24I Raspberry Pico 2 Lora NFC GPS Battery 24V Input

Compact ESP32-S3 Camera Controller with Joystick, LiPo & USB-C (XIAO Footprint)

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

Change History from V1: -13.56MHz tuning -larger instruction font -put some stuff on the back #template I wanted to create a business card that has some functionality and shows off a bit of my portfolio IRL: -NFC to my flux page -here's the [instructables](https://www.instructables.com/PCB-Business-Card-With-NFC-Make-Yours-With-NFC-QR-/) -Put a bunch of modules on it Find the BoM [here](https://www.digikey.com/short/2db2vnmp)

ESP32 Multimodal Health Monitor with Pulse Oximetry, ECG, and Barometric Sensing

The semgdaq board is a wearable 6 channel data acquisition unit for capturing surface electromyographic (sEMG) signals from human arm muscles using SJ2-3593D jack connectors while conditioning, digitizing, processing and feature extracting them then transmitting the feature data as vectors to an external AI accelerated board through an SM12B-SRSS IDC connector using 12C and UART communication protocals where AI models are run for various applications including robotic control, muscle signals medical assessment and gesture recognition. The feature vectors are comprised of onset detection, slope sign changes, autoregression coefficients and Short Time Fourier Transform magnitude spectrum data for each segment or window of the signals in real time. This vectors can be used as the basis for further feature extraction on more computationally resourceful hardware where machine learning algorthms can be employed for descision making in the applications mentioned earlier. The board leverages INA125P instrumentation amplifiers together with filter stages utilizing LM324QT op-amps for conditioning and an STM32G4A1VET6 microcontroller for the digitization, processing, feature extraction and data transmission. Since AI models can only be as good as the data, the design of such a DAQ is necessary to ensure clean, reliable and real-time data for AI applications requiring sEMG feature data. The board also has USB-FS and JTAG to cater for debugging and external flash memory to extend its data storage and processing capability. The power (5V) is fed through a screw terminal and is regulated by two LDK320AM LDO regulators to offer 5V, 3.3V and 1.8V to meet the requirements of various components on the board.

A PCB for automotive testing, featuring a 24 GHz radar system with an MCU for processing I&Q values. It connects to a frequency analyzer and uses CW and FMCW modes to detect bicyclists in blind spots of parked cars.

The Pico Macro Keyboard is a compact and powerful macro pad built using the latest Raspberry Pi Pico 2. Inspired by the Figma Creator Micro, this keyboard is designed for customizable control and enhanced productivity. It features mechanical switches with per-key RGB lighting, along with two rotary encoders for added functionality. With a modular 4-layer PCB and fully customizable keymaps, it seamlessly integrates with any software, making it perfect for designers, gamers, and power users alike.

This project is a template for projects involving RP2040. It consists of the chip, the decoupling capacitors, the crystal oscillator and the flash memory. #raspberryPi #rp2040 #template

Environmental exposure risk measuring device based on ESP32, ultraviolet light (UV) and CO2 gas sensor modules. It has a voltage booster based on MT3608 chip and a solar panel lithium battery charger with MPPT based on CN3791 chip.

HVAC System controller board. Features 4 10A250VAC relays (For power control), a BME680 for environmental monitoring and a 5v-35v driver to control up to 2 DC motors. #esp32 #iot

Test Project for the green dot project.