Passive connector-hub PCB for UniPi 1.1 plant-watering wiring with 1:1 internal breakout, ATX 24-pin power entry, configurable 0-ohm power forwarding, and external 3.81 mm field connectors in a 30 x 40 mm enclosure.

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

The Argon is a powerful Wi-Fi enabled development board for Wi-Fi networks. It is based on the Nordic nRF52840 and has built-in battery charging circuitry so it’s easy to connect a Li-Po and deploy your local network in minutes. #Particle #Argon #Template #Iot #Project-template

Raspberry Pi Pico 2 W Board redesign in Flux.

Learn how to design PCBs faster with generative AI in this 20 minute hands-on tutorial. You’ll learn how to use Flux Copilot, an AI-powered hardware design assistant, to research parts, review your design, and even connect components. https://youtu.be/FL7e0OXTLic

The BLM02AX121SN1# is a chip ferrite bead manufactured by Murata, designed to function as a resistor at noise frequencies, thereby minimizing resonance and maintaining signal integrity. This surface-mount device (SMD) features a compact size of 0.4mm x 0.2mm, making it ideal for noise suppression in small electronic equipment, such as PA modules for cellular phones. The component operates effectively across a wide frequency range (30MHz to several hundred MHz) without requiring a ground connection, making it suitable for circuits without stable ground lines. The BLM02AX121SN1# offers a rated current of 250mA at 125°C, a maximum DC resistance of 0.50Ω, and an impedance of 1200Ω at 100MHz with a tolerance of ±25%. It is available in two packaging options: bulk (bag) with a standard packing quantity of 1000 units and 180mm paper tape with 20000 units. The device is compliant with RoHS and REACH standards, ensuring its suitability for consumer and certain medical and industrial applications.

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.

A transistor in which one p-type material is placed between two n-type materials.

The InFiDEL is a cheap (< $5) filament diameter sensor intended for use with FDM 3d printers. The sensor can be calibrated to provide surprisingly precise filament diameter readings in real-time. The main idea is to use the sensor to correct for filament diameter deviations while printing

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.

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.

A simulated circuit that demonstrates how diodes in a bridge configuration convert an AC voltage to DC voltage.

This is a NRF24L01 shield board for Arduino Nano 33 that can be used in many IoT projects #IoT #NRF #arduino #nano33

Glucose meter is a medical device that determines the approximate concentration of glucose in the blood. A strip containing chemicals that react with glucose in the drop of blood is used for each measurement. Op Amp Circuit description: LMC6484 IC_D is an integrator circuit. LMC6484 IC_A and IC_C are configured as unity gain buffer amplifiers. LMC6484 IC1B is configured as a trans impedance amplifier. Arduino is used for processing of the measured glucose level. The Arduino use the built in ADC module for analog to digital conversion. Further, the Arduino helps to detect the strip also.

A simulated circuit that demonstrates how diodes in a bridge configuration convert an AC voltage to DC voltage.

OpenSpritzer, an open hardware pressure ejection system for reliably delivering picolitre volumes. Designed for ease of use, robustness and low-cost, the “Openspritzer” is an open hardware “Picospritzer” as routinely used in biological labs around the world. The performance of Openspritzer and commercial alternatives is effectively indistiguishable. It uses Arduino Nano.

The Ariel AI Chip, a pioneering component in the field of artificial intelligence hardware, integrates advanced features designed to enhance computational efficiency and AI processing capabilities. This chip is distinguished by its utilization of a quad-core CPU with a clock speed of 2GHz, operating on a radical transistor architecture that promises significant improvements in speed and power efficiency. Key components that constitute the Ariel AI Chip include a DC power supply with a 5V output (DCPS-5V), NPN transistors (NPN-TRANS-001 and NPN-TRANS-002) that serve as the fundamental switching elements, precision resistors (RES-1K and RES-1K-002) each with a resistance of 1kΩ, and a capacitor (CAP-10UF) rated at 10μF to stabilize voltage and filter noise. This chip is designed for integration into systems requiring advanced AI capabilities, offering a comprehensive solution for developers looking to leverage machine learning and artificial intelligence in their applications. With its innovative architecture and component selection, the Ariel AI Chip stands out as a versatile and powerful tool for a wide range of AI applications, from embedded systems to more complex computational platforms.

A Tesla coil is an electrical resonant transformer circuit designed by inventor Nikola Tesla in 1891. It is used to produce high-voltage, low-current, high frequency alternating-current electricity. Tesla experimented with a number of different configurations consisting of two, or sometimes three, coupled resonant electric circuits.

The Ariel AI Chip, an innovative component designed for high-performance computing applications, integrates a sophisticated array of electronic parts to deliver unparalleled processing capabilities. At the heart of this system is a CPU with a radical transistor architecture, featuring a core count of 4 and a clock speed of 2GHz, identified by its part number CPU-RT-4C-2G. Power management within the chip is efficiently handled by a DC Power Supply, rated at 5V, with the part number DCPS-5V, ensuring stable and reliable operation. The chip's signal processing and amplification needs are addressed through the inclusion of two NPN transistors, with part numbers NPN-TRANS-001 and a similar variant, providing the necessary gain and switching capabilities for complex computational tasks. Signal conditioning is further enhanced by a pair of 1kΩ resistors, RES-1K and RES-1K-002, and a 10µF capacitor, CAP-10UF, which work together to filter and stabilize the power supply and signal pathways, ensuring clean and noise-free operation. This integration of components within the Ariel AI Chip offers electrical engineers a robust platform for developing advanced AI systems, combining high processing power with efficient power management and signal integrity, suitable for a wide range of applications in the field of artificial intelligence.

Use this template if you're planning to get your 1 to 2-layer board manufactured in JLCPCB. It has the via min/max and trace width constraints already baked as global rules. #project-template #template

The LIS3DH is a very popular low power triple-axis accelerometer. It's low-cost, but has just about every 'extra' you'd want in an accelerometer. This sensor communicates over I2C or SPI (our library code supports both) so you can share it with a bunch of other sensors on the same I2C bus. There's an address selection pin so you can have two accelerometers share an I2C bus

Extend the range of your I2C bus and easily tap into it to drop in devices wherever you would like.

The Raspberry Pi 4 Model B is the latest product in the popular Raspberry Pi range of single board computers. It offers ground-breaking increases in processor speed, multimedia performance, memory, and connectivity compared to the prior generation Raspberry Pi 3 Model B+ while retaining backward compatibility and similar power consumption. For the end user, Raspberry Pi 4 Model B provides desktop performance comparable to entry-level x86 PC systems. https://www.raspberrypi.org/documentation/hardware/raspberrypi/schematics/rpi_SCH_4b_4p0_reduced.pdf

This is a simulation of controlling an LED using STM32 in Flux!

A simulated circuit that demonstrates how diodes in a bridge configuration convert an AC voltage to DC voltage.