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.

R2 w Thread changes: -Moving to Letter Modules for ease of design -Adding MGM210L for Matter on Thread On/Off and intensity control -Shifted A and R letters closer to fix Kerning -Optional: Add unpopulated AA Battery Holder for battery option R1 changes: -Changed LED part to Red LEDs -adjusted resistor value of buck converter -Changed source for USB-C Connector -Removed exposed soldermask on buck converter with negative soldermask expansion -Order with black soldermask Modified by markwu2001: - Adjustable Brightness, - 85-90% Drive Efficiency - <5W Operation (Can use 5V 1A Plug) This project can be purchased from LCSC Original Description: Daddy's second circuit board. A sign to let my wife know when I'm on a call. Activates with a slide switch and is powered by USB-C. #template #arduino-matter

Programmable USB Type‐C Controller with Power Delivery(PD) support. Include ESD Protection Diodes. #project-template #USB #typec #powerdelivery #template

The RC522 is a 13.56MHz RFID module that is based on the MFRC522 controller from NXP semiconductors. The module can supports I2C, SPI and UART and normally is shipped with a RFID card and key fob. It is commonly used in attendance systems and other person/object identification applications. #RFID #Module

Specially designed for IoT ESP-WROOM-32E-based main controller board with dual-core chips. #ESP32 #ESP32WROOM #RF #WIFI #MCU

The Robo Project is a mobile robotic platform featuring a Particle Argon board, 4 motor-wheels controlled by L293D drivers, and an HC-SR04 ultrasonic sensor for obstacle detection. It's ideal for exploration, remote control, and robotics education. #project #robot #template #L293D #car

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.

This project is a WiFi Camera with Motion Detection, utilizing ESP32-CAM module and HC-SR501 PIR sensor. The camera is activated by the sensor's output. The system also includes power regulation and communication headers for setup and control. #WiFi #MCU #PIR #ReferenceDesign #project #ESP32 #camera #referenceDesign #edgeComputing #espressif #template #reference-design