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.

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.

This project involves designing a versatile IoT sensor hub using the ESP32-WROOM-32E module. The main objective is to create a platform that enables seamless data collection and transmission from various environmental sensors over a WiFi network. The device will feature USB-C for power and data transfer, and will utilize on-board voltage regulation to ensure stable operation. A CH340C chip is employed for USB to serial conversion, facilitating easy programming and communication with a host computer. Key Features: Wireless Connectivity: Leverage the ESP32's built-in WiFi capabilities for real-time data transmission to cloud-based platforms or local servers. USB-C Interface: Utilize a modern USB-C connector for power and data transfer, providing flexibility and future-proofing the design. On-board Voltage Regulation: Include an AMS1117-3.3 voltage regulator to maintain a stable 3.3V output from the USB input, protecting sensitive components. Support for Multiple Sensors: Integrate various GPIOs to connect multiple sensor types ( temperature, humidity, air quality ) (temperature, humidity, air quality) for comprehensive environmental monitoring. Expandability: Design with additional headers for future expansion, enabling users to customize and extend the hub's capabilities with additional sensors or modules. Applications: Smart Home Automation: Integrating with home systems to monitor and respond to environmental changes. Environmental Monitoring: Providing data for ecological studies or urban environment monitoring. Industrial IoT: Enhancing systems within a factory or industrial setting to track conditions in real-time. With this setup, the device aims to be a robust and adaptable piece of technology, suitable for hobbyists, researchers, and developers interested in the expanding world of IoT.

This project is a Bluetooth-controlled smart mirror design. It uses an ESP32-MINI-1 for Bluetooth connectivity, an MPU-6050 IC sensor for gesture control, and a RGB LED for visual feedback. The design also comprises of other components like capacitors, resistors, and a USB-C connector for power. #referenceDesign #edge-computing #edgeComputing #template #reference-design #reusable #module #edge-computing #edgeComputing #sublayout #esp32 #lazer #sensor

This project involves designing a PCB for the lid assembly of an open-source laptop. The design integrates various sensors, including a microphone, camera, and ambient light sensor, ensuring precise alignment with the display glass. It features touch sensors to control LED lighting, spring-loaded contacts for touch-key interaction, and 3D-printed light diffusers for efficient lighting. Additionally, the PCB includes a power management system with status LEDs and a PFC for connecting to the external laptop PCB. The goal is to create a versatile, upgradeable, and user-friendly component for the laptop's lid. Specific parts of the project include 1. Microphone - Audio input capture 2. Ambient Light Sensor Module - Light intensity measurement 3. Camera - Video capture 4. LDO Regulators (3 TLV74 Series) - Voltage regulation for different components 5. Crystal - Clock generation 6. Touch Sensor Controller - Touch-key interaction 7. Flip-Flop - State keeping in logic circuits 8. LEDs (LTRBR37G Series) - Lighting indication 9. FPC Connector - Interface with main laptop PCB

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

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.

FLORA has a small but easy to use onboard reset button to reboot the system. The power supply is designed to be flexible and easy to use. There is an onboard polarized 2 JST battery connector with protection schottky diode for use with external battery packs from 3.5v to 16v DC in. Can be used with LiIon/LiPoly, LiFe, alkaline or rechargeable NiMh/NiCad batteries of any size. The FLORA does not have a LiPo charger included by design, this allows safe use with multiple battery types and reduces risk of fire as it is not recommended to charge these batteries on fabric.

This project is a plant care system that uses an ESP32-S3-MINI-1U-N8 microcontroller to automate plant care tasks. This system includes three Songle relays, multiple resistors, capacitors, and transistors, all powered at 3.3V, 5V, or 12V. It also incorporates a USB Type-C connector. #referenceDesign #edge-computing #edgeComputing #espressif #template #iot #ESP32 #relay #reference-design

This project is a plant care system that uses an ESP32-S3-MINI-1U-N8 microcontroller to automate plant care tasks. This system includes three Songle relays, multiple resistors, capacitors, and transistors, all powered at 3.3V, 5V, or 12V. It also incorporates a USB Type-C connector. #referenceDesign #edge-computing #edgeComputing #espressif #template #iot #ESP32 #relay #reference-design

This project is a distance detecting sensor circuit build around GP2Y0D805Z0F IC from SHARP/Socle Technology. It includes decoupling capacitors, feedback resistors, and a LED for signal indication, with power being supplied via the J1 connector. #referenceDesign #industrialsensing #sharp #template #reference-design

This project is a distance detecting sensor circuit build around GP2Y0D805Z0F IC from SHARP/Socle Technology. It includes decoupling capacitors, feedback resistors, and a LED for signal indication, with power being supplied via the J1 connector. #referenceDesign #industrialsensing #sharp #template #reference-design

This project involves a Charge-Coupled Device (CCD) constructed with key components including a TCD1103GFG integrated circuit, SN74AC04PWR IC, several resistors and capacitors, a MMBT5401 transistor, and a 6-pin connector. The design demonstrates a simple CCD application. #referenceDesign #project #sensor #CCD #image

This project is a reference design for a 2A Solar Panel Power Manager With 7.2V LiFePO4 Battery and 17V Peak Power Tracking based on LT3652 IC. It includes components like resistors, capacitors, LEDs, and a JST connector for power input and battery connection. The design caters to high input voltage applications and ensures efficient charging with minimal components. #project #LT3652 #ReferenceDesign #charger #BatteryManagement #solar #LiFePO4 #referenceDesign #bms #analog #template #reference-design

This project is a reference design for a 2A Solar Panel Power Manager With 7.2V LiFePO4 Battery and 17V Peak Power Tracking based on LT3652 IC. It includes components like resistors, capacitors, LEDs, and a JST connector for power input and battery connection. The design caters to high input voltage applications and ensures efficient charging with minimal components. #project #LT3652 #ReferenceDesign #charger #BatteryManagement #solar #LiFePO4 #referenceDesign #bms #analog #template #reference-design #polygon

This project is a reference design for a 2A Solar Panel Power Manager With 7.2V LiFePO4 Battery and 17V Peak Power Tracking based on LT3652 IC. It includes components like resistors, capacitors, LEDs, and a JST connector for power input and battery connection. The design caters to high input voltage applications and ensures efficient charging with minimal components. #project #LT3652 #ReferenceDesign #charger #BatteryManagement #solar #LiFePO4 #referenceDesign #bms #analog #template #reference-design

This project is a reference design for a 2A Solar Panel Power Manager With 7.2V LiFePO4 Battery and 17V Peak Power Tracking based on LT3652 IC. It includes components like resistors, capacitors, LEDs, and a JST connector for power input and battery connection. The design caters to high input voltage applications and ensures efficient charging with minimal components. #project #LT3652 #ReferenceDesign #charger #BatteryManagement #solar #LiFePO4 #referenceDesign #bms #analog #template #reference-design

This project is a reference design for a 2A Solar Panel Power Manager With 7.2V LiFePO4 Battery and 17V Peak Power Tracking based on LT3652 IC. It includes components like resistors, capacitors, LEDs, and a JST connector for power input and battery connection. The design caters to high input voltage applications and ensures efficient charging with minimal components. #project #LT3652 #ReferenceDesign #charger #BatteryManagement #solar #LiFePO4 #referenceDesign #bms #analog #template #reference-design

This project is a reference design for a 2A Solar Panel Power Manager With 7.2V LiFePO4 Battery and 17V Peak Power Tracking based on LT3652 IC. It includes components like resistors, capacitors, LEDs, and a JST connector for power input and battery connection. The design caters to high input voltage applications and ensures efficient charging with minimal components. #project #LT3652 #ReferenceDesign #charger #BatteryManagement #solar #LiFePO4 #referenceDesign #bms #analog #template #reference-design

This project is a Smart Thermostat design using an ESP32 module for WiFi connectivity and a BME680 sensor for environmental monitoring. The user interface includes an E-ink display and an encoder for settings adjustment. Power is managed through a USB-C connector with a 3.3V regulator. #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #thermostat #referenceDesign #edge-computing #edgeComputing #espressif #template #reference-design

Reference design for Li-ion single cell charger based on TP4056 IC. Rprog setting output current to 900mA. VIN and BAT connector are block terminal connectors. #project #Template #referenceDesign #charger #TP4056 #referenceDesign #batterycharger #template #bms #reference-design #polygon

This is a reference design of the Bluetooth Low-Energy (BLE) temperature sensor. It uses an ESP32-MINI-1 microcontroller to connect to an SHT31-DIS-B2.5KS sensor. The sensor can be powered through connector J15, and additional components provide voltage regulation and derbiaising. Temperature data can be accessed via BLE. #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a reference design for a UJA1166ATK-based circuit, implementing CAN protocol interface with Wake-up, Inhibit, and Sleep functionality. CANBus have block terminal connector and surface mount test points. #referenceDesign #project #CANbus #interface #transceiverCircuit #UJA1166ATK #UJA1166ATK/0Z #referenceDesign #canbus #nxp #template #reference-design

This is a reference design of a BQ24070-based li ion charging IC created according to the manufacturer's recommendations. The board has a connector with pins for setting modes and 3 power connectors #BQ24070 #IC #lion #referenceDesign #bms #texas-instruments #template #reference-design

This project is a Smart Thermostat design using an ESP32 module for WiFi connectivity and a BME680 sensor for environmental monitoring. The user interface includes an E-ink display and an encoder for settings adjustment. Power is managed through a USB-C connector with a 3.3V regulator. #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #thermostat #referenceDesign #edge-computing #edgeComputing #espressif #template #reference-design