Project Overview: This project is an enhanced LED blinking circuit that goes beyond a simple 555 timer-based design. It incorporates additional features such as random blinking patterns, speed control, and a start/stop function. The project utilizes a microcontroller, such as an Arduino or Raspberry Pi, to control the blinking patterns, speed, and start/stop functionality. LED Blinking: The board features a total of 8 LEDs that blink in various random patterns. When the board is powered on, even before user interaction, the LEDs start blinking randomly, creating an eye-catching display. Each LED has its own current-limiting resistor to ensure proper current flow and prevent damage. The microcontroller is programmed to generate random blinking patterns for the LEDs, ensuring that the LEDs do not blink in a predictable or sequential order. This random blinking adds an element of unpredictability and visual interest to the project. Speed Control: The board includes two speed control buttons that allow the user to adjust the blinking speed of the LEDs. Button 1 is designated as the "fast" button, increasing the blinking speed when pressed, while Button 2 is designated as the "slow" button, decreasing the blinking speed when pressed. The speed control provides a range of blinking speeds, from a slow, gradual blink to a rapid, strobe-like effect. The microcontroller monitors the state of the speed control buttons and adjusts the blinking speed accordingly. Start/Stop Functionality: A third button serves as a start/stop control. When pressed, it toggles the blinking of the LEDs on or off. This allows the user to freeze the blinking pattern at any desired moment or resume the blinking when desired. The microcontroller handles the start/stop functionality by turning the LEDs on or off based on the state of the start/stop button. Manual Speed Adjustment: In addition to the speed control buttons, the board includes a potentiometer or variable resistor. This component allows the user to manually adjust the blinking speed of the LEDs by turning the knob or sliding the control. The manual speed adjustment provides more precise and customizable control over the blinking speed compared to the preset speeds of the buttons. The microcontroller reads the analog value from the potentiometer and adjusts the blinking speed accordingly. Power and Connectivity: The board is powered through a USB-C or USB-micro B connector, allowing it to be easily connected to a power source such as a computer or wall adapter. A voltage regulator may be included to ensure a stable and appropriate voltage supply to the components. A power switch is incorporated to conveniently turn the board on or off.

Kitchen LED Strip Motion & Ambient-Light Controller with 12 V PWM Dimming, PIR Sensor, Ambient Light Sensor, MCU Control, Buck Regulator, and Protection Circuits (TVS, PTC Fuse, Reverse-Polarity Diode) #KitchenLEDController #MotionDetection #AmbientLightSensor

sEMG-DAQ 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 transmitting them as sEMG data to an external AI accelerated board through an SM12B-SRSS IDC connector where AI models are run for various applications including robotic control, muscle signals medical assessment and gesture recognition. The board leverages an INA125P instrumentation amplifier together with filter stages utilizing LM324QT op-amps for conditioning and an STM32G4A1VET6 microcontroller for the digitization, processing and data transmission of the signals. 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 data. The board also has USB-FS and JTAG to cater for debugging. 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.

Robotic Hand Control Using ECG https://www.hackster.io/aka3d6/robotic-hand-control-using-emg-349254

Xiao could be a good way to mod your house or machines, with a simple relay controller to rule the wires.

This project is a controller module that uses the ESP32-WROOM-32E and the MAX3485 to communicate with Modbus devices. It has a USB-C port for power and data, a voltage regulator for stable operation, and headers for connecting sensors and actuators. It also has a CH340C chip for USB to serial conversion. #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #MAX3485 #RS485 #maximintegrated #reference-design #polygon

Use this template if you plan to get your 1-4 layer boards manufactured with HQ NextPCB (nextpcb.com). This template is designed for generic designs to minimize unnecessary costs and complications where possible. https://www.nextpcb.com/pcb-capabilities #project-template #template #manufacturer-design-rules

This is a board for a robotic arm controlled by Particle Argon. Settings can be made using a display module that connects to the board. You can teach him to draw or cook. Just use your imagination!

This project is a LoRa telemetry with ATGM336H GNSS controlled by ESP32-S2-mini Template #drone #LoRa #rfm9x #ESP32 #controller #referenceDesign #project #template #ATGM336H #GNSS

Board for air-powered soft robots. Board contains 4 air pumps powered by a 12.4v li-on battery and controlled by fixed buttons

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.

Seeed Studio XIAO ESP32C6 is powered by the highly-integrated ESP32-C6 SoC, built on two 32-bit RISC-V processors, with a high-performance (HP) processor with running up to 160 MHz, and a low-power (LP) 32-bit RISC-V processor, which can be clocked up to 20 MHz. There are 512KB SRAM and 4 MB Flash on the chip, allowing for more programming space, and binging more possibilities to the IoT control scenarios.

This is an AI camera board for FPV drones based on the ESP32-S3. ESP32 processes all the data using AI and sends commands to the controller via UART. #FPV #AI #uart #ESP32 #S3 #arduino #drone

Arduino Micro - MIDI Controller It uses the Arduino Micro as USB midi controller. It has 1 capacitive touch octave (12 Keys), 2 rotary encoders, a button, and a proximity sensor that can be used as a mod wheel, sustain pedal or MPE. The oled screen displays the different configuration options. It can be set to any channel or C.C. so it can be used to modify other instruments behavior. The capacitive touch keys can also be used as 12 drum machine pads.

Balancing board for zinc batteries controlled by ESP32 via IO expander. Information about the state of each battery will be uploaded to the cloud

This project is a Gesture Light Switch Relay Reference Design. It involves an STM32 microcontroller (STMicroelectronics) that interacts with an APDS-9960 sensor (Broadcom) to detect hand gestures. The gesture data is used to control a Toshiba TLP175A relay and an Everlight tri-color LED to switch the light and change colors, respectively. Power is supplied by a Diodes Incorporated's AP2112K-3.3TRG1 regulator. #referenceDesign #edge-computing #edgeComputing #stm #relay #sensors #reference-design

Integrated 4-layer ROV main control board for 48 V tether-powered underwater vehicle, with onboard 48 V to 12 V/5 V/3.3 V electronics power conversion, STM32F407 control, Jetson Nano interface, sensors, ESC PWM signal outputs, RS485/Ethernet tether interfaces, and conformal-coated underwater-enclosure constraints.

Introducing my USB-C to 4 USB-A Hub V1, a compact and efficient solution for expanding your device's connectivity. Easily connect multiple USB-A peripherals to a single USB-C port. The USB-C and USB-A high speed differential pairs were done with the help of Flux Automated Impedance Control. #USBCHub #Connectivity #project

This is a 7-segment controller. It runs on a 3-bit counter so the count is from 0-7. Buttons to toggle reset, pause, increment. Knobs to control speed and lighting configuration. Try the simulation here: https://www.flux.ai/jbreidfjord-dev/7-seg-3-bit-counter

PCB Design for NODE Board, the board uses Max7219 to control 128 SMD0805 LEDs

The SparkFun Load Cell Amplifier is a small breakout board for the HX711 IC that allows you to easily read load cells to measure weight. By connecting the amplifier to your microcontroller you will be able to read the changes in the resistance of the load cell, and with some calibration you’ll be able to get very accurate weight measurements. This can be handy for creating your own industrial scale, process control or simple presence detection.

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

This project is a Gesture Light Switch Relay Reference Design. It involves an STM32 microcontroller (STMicroelectronics) that interacts with an APDS-9960 sensor (Broadcom) to detect hand gestures. The gesture data is used to control a Toshiba TLP175A relay and an Everlight tri-color LED to switch the light and change colors, respectively. Power is supplied by a Diodes Incorporated's AP2112K-3.3TRG1 regulator. #referenceDesign #edge-computing #edgeComputing #stm #relay #sensors #reference-design

(AL8805W5) The PicoBuck LED Driver is an economical and easy to use driver that will allow you to control and blend three different LEDs on three different channels. By default, each channel is driven at 330mA; that current can be reduced by either presenting an analog voltage or a PWM signal to the board. Version 12 of the board adds a solderable jumper that can be closed to increase the maximum current to 660mA. The new voltage regulator also increased the voltage rating on the various components on the board, allowing it to be used up to the full 36V rating of the AL8805 part.