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. #allThingsRobotics #project #robot #L293D #car

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 #L293D #car

Raspberry Pi 2, 3, 4 or 400 Model B+ connector with RPi board outline and mounting holes. good for Raspberry Pi Shield projects. Insulation Height 0.335" (8.51mm) Compatible part number: PPPC202LFBN-RC #RaspberryPi #HAT #RPi #template #project

Welcome to your new project. Imagine what you can build here.

IMPORTANT NOTICE: Hey, I opened editing permissions and this doc is broken, see the frozen version here: https://www.flux.ai/markwuflux/on-air-markwu2001-remix-r1-backup-freeze-0b49 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.

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!

(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.

This is a recreation of the [EV5920-5048-V-00A](https://www.monolithicpower.com/en/ev5920-5048-v-00a.html) from MPS which demonstrates a MP5920 Hot-Swap controller commanding 5 MP5048 e-fuses in parallel. WIP Items: -Routing In flux, this project demonstrates hierarchal design through the use of modules. Additionally, parametric symbols are used extensively to improve schematic cleanliness. Components in the canvas are locked because their positions correspond to the same positions as the original layout. Changelog from Original MPS Design: - Not including GPIO2 or GPIO3 as included in the original board due to NC pin name on the IC. - PC1 and PC2 footprints are 5mm in pitch and 12.5mm in diameter rather than the 16mm diameter in the original layout. This change corresponds with the selected part more accurately. -Renamed Designators to be More Verbose

The Ariel AI chip prototype is an advanced electronic component designed to enhance the capabilities of Flux AI systems through a sophisticated arrangement of transistors, resistors, capacitors, and a cutting-edge CPU. Key components include two NPN transistors (part numbers NPN-TRANS-001 and NPN-TRANS-002), which are essential for signal amplification, alongside precision resistors (RES-1K and RES-1K-002) each with a resistance of 1kΩ, and a capacitor (CAP-10UF) with a capacitance of 10μF, crucial for filtering and stabilizing the voltage supply. At the heart of the design is a revolutionary CPU (part number CPU-RT-4C-2G) featuring a quad-core setup with a clock speed of 2GHz, based on a radical transistor architecture, designed to deliver unparalleled computational performance for AI tasks. This component set is powered by a 5V DC power supply (DCPS-5V), ensuring a stable and efficient operation. The Ariel AI chip is engineered for high-speed, reliable performance in demanding AI applications, representing a significant advancement in electronic component design for artificial intelligence systems.

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

Welcome to your new project. Imagine what you can build here.

A simple voltage divider to showcase how to make parts. A voltage divider is a simple circuit which turns a large voltage into a smaller one. Using just two series resistors and an input voltage, we can create an output voltage that is a fraction of the input. Voltage dividers are one of the most fundamental circuits in electronics.

A simple voltage divider to showcase how to make parts. A voltage divider is a simple circuit which turns a large voltage into a smaller one. Using just two series resistors and an input voltage, we can create an output voltage that is a fraction of the input. Voltage dividers are one of the most fundamental circuits in electronics.

Direct Current Motor. See https://en.wikipedia.org/wiki/DC_motor

Simulator template for an LED part. Check out the Code editor for instructions!

Simulator template for an LED part. Check out the Code editor for instructions!

The Ariel AI Chip, a state-of-the-art integrated circuit designed for high-performance computing applications, incorporates an innovative architecture that leverages radical transistor technology to optimize AI and machine learning tasks. At the heart of this chip lies a quad-core CPU operating at a clock speed of 2GHz, distinguished by its part number CPU-RT-4C-2G. The chip's power management is efficiently handled by a DC power supply, specified as DCPS-5V, ensuring a stable 5V input. Key to its operation are two NPN transistors, identified by part numbers NPN-TRANS-001 and NPN-TRANS-002, which, along with a pair of 1kΩ resistors (RES-1K and RES-1K-002) and a 10µF capacitor (CAP-10UF), form the critical signal processing and conditioning circuitry. This assembly is designed for seamless integration into advanced computing systems, particularly those focused on Flux AI environments, where its performance and efficiency can be fully leveraged. The Ariel AI Chip sets a new benchmark in AI computing, offering unparalleled processing power and efficiency for cutting-edge applications.

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

Simulator template for an LED part. Check out the Code editor for instructions!

Simulator template for an LED part. Check out the Code editor for instructions!

AHT20+BMP280 Temperature Humidity Pressure Module High-Precision Digital Sensors #I2C #AHT20 #BMP280 #part #digital

AHT20+BMP280 Temperature Humidity Pressure Module High-Precision Digital Sensors #I2C #AHT20 #BMP280 #part #digital

The Ariel AI Chip, a pioneering component in the realm of artificial intelligence hardware, integrates a suite of electronic elements tailored for high-performance computing applications. At the heart of this assembly lies a CPU with a Radical Transistor architecture, featuring a quad-core setup clocked at 2GHz, identified by the part number CPU-RT-4C-2G. Power management is facilitated through a DC Power Supply, marked DCPS-5V, ensuring a stable 5V supply to the intricate circuitry. The chip's switching capabilities are bolstered by two NPN transistors, NPN-TRANS-001 and NPN-TRANS-002, which play a crucial role in signal modulation. Essential to the chip's operation are the passive components: two 1kΩ resistors (RES-1K and RES-1K-002) and a 10µF capacitor (CAP-10UF), which together with the transistors, form a robust network ensuring reliable performance under varying load conditions. Designed for integration into advanced AI systems, this chip stands out for its innovative use of standard components in a configuration that emphasizes efficiency, reliability, and high-speed data processing capabilities.

This system was developed as part of a research project of the Ward Lab. It is to be used with a stimulus isolation adaptor from BIOPAC, more specifically one of the models that provide isolated voltage: https://www.biopac.com/product/stimulus-isolation-adapters/

The Ariel AI chip prototype, designed for integration with Flux AI for advanced simulation and testing, incorporates a suite of electronic components optimized for high-performance computing applications. At the heart of this system lies a CPU with a radical transistor architecture, featuring a 4-core configuration and a clock speed of 2GHz, identified by part number CPU-RT-4C-2G. Power management is facilitated through a DC Power Supply, specified as DCPS-5V, ensuring a stable 5V supply to the system. The circuit's dynamic performance is modulated by two NPN transistors, NPN-TRANS-001 and NPN-TRANS-002, which, along with precision resistors RES-1K and RES-1K-002 (both 1kΩ), and a 10μF capacitor (CAP-10UF), form the critical signal processing path leading to the CPU. This configuration is designed to provide an efficient, reliable processing environment for AI computations, with an emphasis on minimizing latency and maximizing throughput. The Ariel AI chip's architecture, combining traditional components with an innovative CPU design, offers a versatile platform for developing advanced AI applications, reflecting a significant step forward in computational technology.