The TP4056 1A Li-ion Lithium Battery Charging Module with Current Protection – Mini USB is a compact device designed to charge individual lithium ion (Li-Ion) cells that lack their own protective circuit, such as 16550s, with a single cell capacity of 3.7V and 1 Ah or higher. This battery charging module employs the TP4056 charger IC and DW01 battery protection IC to provide a charge current of 1A, which will cease upon completion of the charging process. https://robocraze.com/products/tp4056-lithium-battery-charging-board #PCB #TP4056 #battery

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.

Linear Voltage Regulator IC Positive 5V Fixed 1 Output 1.5A TO-220-3 #CommonPartsLibrary #IntegratedCircuit #PowerManagement #LinearRegulator #VoltageRegulator

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.

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.

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

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

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

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

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 Qwiic PC Fan Controller allows you easily control almost any PC fan over the Qwiic bus using the on board ATtiny microcontroller and control firmware. The control firmware monitors the tachometer output of the fan in order to implement PI Control over the fan speed, allowing you to set your desired speed in real units.

Have you ever wanted to wake up to one of the most energizing scents? Have you ever wanted that cup of energy in your hands before you even slide out of your covers? Well want no further! Introducing the Coffee Waker; The knight of your nightstand, a coffee maker alarm clock with one soul purpose, to quickly and scrumptiously wake you up. This is the Coffee Waker Main board. It contains an ESP32-S3, 16 bit Load Cell ADC, 16 bit MP3 DAC, 120V heater cartridge relay, and 12C wakeup light convector.

Production-Ready Automotive Crash Detection Controller PCB (90x60mm) – 2-Layer with Arduino Nano, SIM7600E-H, IMU & RF

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!

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!

Nice — you can do a clean pulse + latch using a single quad Schmitt-NAND chip: 74HC132 (or 74LVC132 for 3.3 V systems). The HC132 contains four 2-input NAND gates with Schmitt inputs so you can both clean a noisy SYN480R DATA line and build an SR latch (NAND SR is active-LOW) inside one package. Only a few passives and a driver transistor are needed. Below is a ready-to-build recipe (parts, wiring, explanation, tuning tips, and an ASCII schematic) — no extra logic ICs required. Parts (per latch) 1 × 74HC132 (quad 2-input NAND with Schmitt inputs). If your system is 3.3 V use 74LVC132 / 74HC132 rated for 3.3 V. Rin = 47 kΩ (input series) Cfilter = 10 nF (input RC to ground) — tweak for debounce/clean time Rpulldown = 100 kΩ (pull-down at input node, optional) Rpullup = 100 kΩ (pull-up for active-LOW R input so reset is idle HIGH) Rbase = 10 kΩ, Q = 2N2222 (NPN) or small N-MOSFET (2N7002) to drive your load Diode for relay flyback (1N4001) if you drive a coil Optional small cap 0.1 µF decoupling at VCC of IC Concept / how it works (short) Use Gate1 (G1) of 74HC132 as a Schmitt inverter by tying its two inputs together and feeding a small RC filter from SYN480R.DATA. This removes HF noise and provides a clean logic transition. Because it's a NAND with tied inputs its function becomes an inverter with Schmitt behavior. Use G2 & G3 as the cross-coupled NAND pair forming an SR latch (active-LOW inputs S̄ and R̄). A low on S̄ sets Q = HIGH. A low on R̄ resets Q = LOW. Wire the cleaned/inverted output of G1 to S̄. A valid received pulse (DATA high) produces a clean LOW on S̄ (because G1 inverts), setting the latch reliably even if the pulse is brief. R̄ is your reset input (pushbutton, HT12D VT, MCU line, etc.) — idle pulled HIGH. Q drives an NPN/MOSFET to switch your load (relay, LED, etc.). Recommended wiring (pin mapping, assume one chip; use datasheet pin numbers) I’ll refer to the 4 gates as G1, G2, G3, G4. Use G4 optionally for additional conditioning or to build a toggler later. SYN480R.DATA --- Rin (47k) ---+--- Node A ---||--- Cfilter (10nF) --- GND | Rpulldown (100k) --- GND (optional, keeps node low) Node A -> both inputs of G1 (tie inputs A and B of Gate1 together) G1 output -> S̄ (S_bar) (input1 of Gate2) Gate2 (G2): inputs = S̄ and Q̄ -> output = Q Gate3 (G3): inputs = R̄ and Q -> output = Q̄ R̄ --- Rpullup (100k) --- VCC (reset is idle HIGH; pull low to reset) (optional) R̄ can be wired to a reset pushbutton to GND or to an MCU pin Q -> Rbase (10k) -> base of 2N2222 (emitter GND; collector to one side of relay coil) Other side of relay coil -> +V (appropriate coil voltage) Diode across coil If you prefer MOSFET low side switching: Q -> gate resistor 100Ω -> gate of 2N7002 2N7002 source -> GND ; drain -> relay coil low side

Create a schematic diagram of an electric fence controller using the NE556 dual timer IC. The circuit must include all components with clear electronic symbols (resistors, capacitors, transistors, diode, relay) connected by lines as in a real circuit diagram. Specifications: 1. Power supply: - Vcc = +12V connected to pin 14 of the NE556. - Pin 1 of the NE556 to ground. 2. Timer A (active 10 seconds): - Pin 2 (Trigger A) receives a pulse from transistor Q2 (contact detector). - Pin 6 (Threshold A) connected to Pin 7 (Discharge A). - R1 = 1 MΩ between Pin 7 and +12V. - C1 = 10 µF between Pin 6 and ground. - Pin 3 (Out A) goes through a 4.7 kΩ resistor to the base of Q1 (BC547 NPN transistor). - Pin 3 also connected via a 100 nF capacitor to Pin 13 (Trigger B of Timer B). 3. Timer B (rest 10 seconds): - Pin 9 (Discharge B) and Pin 8 (Threshold B) connected together. - R2 = 1 MΩ between Pin 9 and +12V. - C2 = 10 µF between Pin 8 and ground. - Pin 12 (Out B) can be optionally used to block retrigger of Timer A. 4. Relay driver stage: - Q1 = BC547 NPN transistor. - Base connected through 4.7 kΩ resistor to Pin 3 (Out A). - Emitter to ground. - Collector connected to one side of the relay coil. - Other side of relay coil connected to +12V. - A diode 1N4007 placed in parallel with the relay coil (cathode to +12V, anode to collector of Q1). - Relay contacts switch the +12V supply to the electric fence energizer. 5. Contact detector: - Shunt resistor ≈0.1 Ω placed in series with the fence output. - Q2 = BC547 NPN transistor, base connected to the shunt, emitter to ground, collector to Pin 2 (Trigger A). - When current flows through the shunt, Q2 provides a trigger pulse to Timer A. Please draw the schematic in a standard style with components connected by straight lines, not in block diagrams. Show clear pin numbers of the NE556 and all external components.

This is ESP32-S3-MINI-1 Wireless BMS project for a battery charger based on the RT9525 battery charger IC from Richtek. #project #ESP32 #ESP32S3 #charger #batterycharger #template #bms #monitor #RT9525 #richtek #polygon

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!

make this for me now # Device Summary & Specification Sheet ## 1. Overview A rugged, Arduino-Uno-and-Raspberry-Pi-style single-board micro-PC featuring: - Smartphone-class CPU (Snapdragon 990) - USB-C Power Delivery + 4×AA alkaline backup + ambient-light harvester - On-board Arduino-Uno-compatible ATmega328P - External NVMe SSD via USB3 bridge & optional Thunderbolt 3 eGPU support - 5× USB 3.0 ports, HDMI in/out, Gigabit Ethernet & SFP fiber, Wi-Fi, Bluetooth, LoRa - 0.96″ OLED status display, 3.5 mm audio jack with codec --- ## 2. Key Specifications | Category | Specification | |--------------------|-------------------------------------------------------------------------------| | CPU | Snapdragon 990, octa-core up to 2.84 GHz | | Memory | 6 GB LPDDR4x DRAM | | Storage Interface | PCIe Gen3 ×4 → M.2 NVMe + USB 3.1 Gen1 bridge | | MCU | ATmega328P (Arduino-Uno-compatible) | | Power Input | USB-C PD up to 20 V/5 A; 4×AA alkaline backup; ambient-light photodiode boost | | Power Rails | 12 V, 5 V, 3.3 V, 1.8 V, 1.2 V via buck/buck-boost regulators | | USB Hub | 5× USB 3.0 downstream ports | | Display | 0.96″ 128×64 OLED via I²C/SPI | | Networking | 1 × Gigabit RJ45; 1 × SFP fiber; Wi-Fi 802.11ac + Bluetooth; LoRa SX1276 | | Video I/O | HDMI 2.0 input (RX) & output (TX) | | Audio | 3.5 mm jack + TLV320AIC3101 codec; Bluetooth audio | | Form Factor | Raspberry Pi–style header + Arduino-Uno shield headers; 4× standoff mounts | --- ## 3. Complete Parts List | Part | Function | Qty | |------------------------------------------------------------------------------------------------|-----------------------------------------------|-----| | [Snapdragon 990](https://www.flux.ai/search?type=components&q=Snapdragon%20990) | Main application CPU | 1 | | [LPDDR4x DRAM](https://www.flux.ai/search?type=components&q=LPDDR4x%20DRAM) | System memory | 1 | | [eMMC 64GB](https://www.flux.ai/search?type=components&q=eMMC%2064GB) | On-board storage | 1 | | [M.2 NVMe Connector](https://www.flux.ai/search?type=components&q=M.2%20NVMe%20Connector) | External SSD interface | 1 | | [JMS583](https://www.flux.ai/search?type=components&q=JMS583) | PCIe→USB 3.1 bridge for NVMe | 1 | | [Titan Ridge](https://www.flux.ai/search?type=components&q=Titan%20Ridge) | Thunderbolt 3/eGPU controller | 1 | | [STUSB4500](https://www.flux.ai/search?type=components&q=STUSB4500) | USB-C Power-Delivery controller | 1 | | [LTC4412](https://www.flux.ai/search?type=components&q=LTC4412) | Ideal-diode OR-ing | 1 | | [LTC3108](https://www.flux.ai/search?type=components&q=LTC3108) | Ambient-light (solar) energy harvester | 1 | | [Battery Holder 4×AA](https://www.flux.ai/search?type=components&q=Battery%20Holder%204xAA) | Alkaline backup power | 1 | | [TPS53318](https://www.flux.ai/search?type=components&q=TPS53318) | 6 V→5 V synchronous buck regulator | 1 | | [MCP1700-3302E/TO](https://www.flux.ai/search?type=components&q=MCP1700-3302E/TO) | 6 V→3.3 V LDO | 1 | | [TPS63060](https://www.flux.ai/search?type=components&q=TPS63060) | Buck-boost for 12 V rail (eGPU power) | 1 | | [ATmega328P](https://www.flux.ai/search?type=components&q=ATmega328P) | Arduino-Uno microcontroller | 1 | | [ESP32-WROOM-32](https://www.flux.ai/search?type=components&q=ESP32-WROOM-32) | Wi-Fi + Bluetooth co-processor | 1 | | [SX1276](https://www.flux.ai/search?type=components&q=SX1276) | LoRa transceiver | 1 | | [TUSB8041](https://www.flux.ai/search?type=components&q=TUSB8041) | 5-port USB 3.0 hub IC | 1 | | [Ethernet PHY](https://www.flux.ai/search?type=components&q=Ethernet%20PHY) | Gigabit Ethernet physical transceiver | 1 | | [SFP Cage](https://www.flux.ai/search?type=components&q=SFP%20Cage) | Fiber-optic SFP module connector | 1 | | [TDA19978](https://www.flux.ai/search?type=components&q=TDA19978) | HDMI 2.0 receiver (input) | 1 | | [TFP410](https://www.flux.ai/search?type=components&q=TFP410) | HDMI 2.0 transmitter (output) | 1 | | [TLV320AIC3101](https://www.flux.ai/search?type=components&q=TLV320AIC3101) | Audio codec for 3.5 mm jack & Bluetooth audio | 1 | | [Audio Jack 3.5mm](https://www.flux.ai/search?type=components&q=Audio%20Jack%203.5mm) | Headphone/mic port | 1 | | [SSD1306 OLED](https://www.flux.ai/search?type=components&q=SSD1306%20OLED) | Status display | 1 | --- ## 4. High-Level Design & Implementation Steps 1. **Schematic Creation** - Section off blocks: CPU + memory, power-supply, NVMe/USB bridge, MCU, wireless, USB hub, video, audio, I/O headers. - Place all parts from the list and wire per respective datasheet reference circuits. 2. **Power System** - Implement USB-C PD with STUSB4500 → buck/buck-boost & LDO rails. - Add LTC4412 to OR-ing battery pack into 6 V bus. - Include LTC3108 harvest input to 6 V bus (no recharge to AA). - Add decoupling & bulk caps per regulator datasheets; PTC fuses & ESD diodes on inputs. 3. **SoC & High-Speed Interfaces** - Break out Snapdragon 990 BGA with DDR4 routing (point-to-point). - Route PCIe Gen3 lanes to M.2 slot via JMS583 and to Titan Ridge for TB/eGPU. - Follow high-speed layout guidelines: impedance, length matching, EMI filters. 4. **MCU & Expansion Headers** - Place ATmega328P with UNO-style 2.54 mm headers; add ISP 6-pin, I²C pull-ups, reset circuit. 5. **Connectivity Blocks** - USB hub: TUSB8041 + ESD + chokes → five USB-A 3.0 ports. - Ethernet: RJ45 + magnetics + PHY; SFP cage + PHY/SFP interface. - Wireless: ESP32 module pad + SX1276 + antenna matching; program pads. 6. **Video & Audio** - HDMI RX (TDA19978) & TX (TFP410) blocks with TMDS ESD & termination. - Audio codec + 3.5 mm jack; route differential audio lines; add ESD. 7. **Display & Indicators** - SSD1306 OLED on I²C; add pull-ups & backlight power if needed. - LEDs for power, charge, status. 8. **PCB Layout & Mechanical** - Follow Raspberry Pi 2×20 header footprint & UNO shield hole pattern. - Add reinforcement for rugged use; standoffs at corners. - Define 4-layer stackup: • Top: signal • L2: GND • L3: PWR • Bottom: signal 9. **DRC/ERC Reviews** - Run ERC for decoupling, pull-ups, power nets. - Run DRC for high-speed clearance, differential pairs, via aspect ratios. 10. **Fabrication & Testing** - Export Gerbers, IPC-2581, BOM. - Prototype assembly; verify power sequencing, rails, interfaces. - Functional tests: USB-C PD negotiation, NVMe throughput, eGPU over TB3, wireless comm, audio, OLED. --- This spec sheet and part list should guide your Flux schematic and PCB layout workflow through to fabrication and validation. Let me know if you’d like to deep-dive into any specific block or review datasheet details next!

Have you ever wanted to wake up to one of the most energizing scents? Have you ever wanted that cup of energy in your hands before you even slide out of your covers? Well want no further! Introducing the Coffee Waker; The knight of your nightstand, a coffee maker alarm clock with one soul purpose, to quickly and scrumptiously wake you up. This is the Coffee Waker Main board. It contains an ESP32-S3, 16 bit Load Cell ADC, 16 bit MP3 DAC, 120V heater cartridge relay, and 12C wakeup light convector.

This is a climate control system reference design with a STM32WB5 microcontroller, power manager IC, USB Type-C, JST connectors, and an LCD driver. #referenceDesign #edge-computing #edgeComputing #stm #template #iot #control #BLE #reference-design

Learn how to optimize your project for cost with this Vehicle Display System project that was open sourced from the Tesla Roadster. Optimizing your BOM for cost can take forever to research component alternatives and understand the supply chain. Learn how to optimize for cost in seconds with Flux Copilot.

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!

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!

A Buck converter that can be power by Li-ion Battery and output 3.3 volt and 500mA Power by the TPS63051YFFR and the same package as a In the same as a Package as a standard dafruit buck converter. input Voltage Range : 3.3 v to 5.5 v

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!

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!

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!

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 #manufacturer-design-rules

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.

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

Raspberry Pi Pico 2 W Board redesigned 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

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 #manufacturer-design-rules

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

555 Type, Timer/Oscillator (Single) IC 1Mhz 8-PDIP

This is the project template for the Raspberry Pi Pico 2, the latest addition and update to Pi Pico line up. Raspberry pi pico 2 is equipped with the RP2350, a cutting-edge, high-performance microcontroller designed with enhanced security and versatility in mind. Every element of its design has been upgraded, from the advanced CPU cores to the innovative PIO (Programmable I/O) interfacing subsystem. The Raspberry Pi Foundation has integrated a robust security architecture centered around Arm TrustZone for Cortex-M, ensuring data protection and integrity. Additionally, new low-power states and expanded package options broaden the range of applications, making the Pico 2 an ideal choice for diverse, power-sensitive projects. To learn more about what's the key differences between the original Pi Pico and the new Pi Pico 2, read our blog https://www.flux.ai/p/blog/whats-new-in-the-raspberry-pi-pico-2-a-showdown-with-the-original-raspberry-pi-pico #project-template #template #raspberry #pi #pico2 #newpico

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