Control board for autonomous or radio-controlled robots. It has inputs to connect distance sensors and encoders for autonomous mode. It can be radio controlled by the ESP32 bluetooth or by connecting a Flysky RC controller receiver to the IBUS port. It also has 3 push buttons and you can connect some kind of display by I2C to visualize and select configuration modes.

Tesla Roadster open-sourced schematics for the vehicle display system: https://service.tesla.com/docs/Public/Roadster/Roadster_Schematics/Vehicle-Display-System.zip

Vehicle Display System for Tesla Roadster #project #Template #projectTemplate

Mixed Voltage Arduino Nano Integration Example on a 4 Layer PCB Changelog/TODO: -Breakout the SPI Bus in a 2.54mm header in a snap off manner -add an IMU -Reorder the rows of the LEDs Tutorials: https://circuitdigest.com/microcontroller-projects/interfacing-max7219-led-dot-matrix-display-with-arduino

Control board for autonomous or radio-controlled robots. It has inputs to connect distance sensors and encoders for autonomous mode. It can be radio controlled by the ESP32 bluetooth or by connecting a Flysky RC controller receiver to the IBUS port. It also has 3 push buttons and you can connect some kind of display by I2C to visualize and select configuration modes.

This project is a 6-output irrigation control board with pump and other device support. It features 8 connectors, 2 GPIO pins each, and a GC9A01A display. The board is powered by an STM32L073V8T6 microcontroller and has 6 LEDs connected to GPIO pins. #irrigationcontrol #STM32 #GPIO #GC9A01A #LEDs.

Smart Button Terminal Animator: ESP32 & Raspberry Pi Zero 2 W Edition

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.

WeMos D1 Mini: LiPo Battery, OLED Display, and Debounced Button System (Final Schematic & Ready for Production)

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!

Outdoor LoRa-GPS tracker with E-Ink display Original project github.com/hutscape

Real-time sinewave display using Digispark and microphone input. Visualize sound waves in real-time. #RealTimeVisualization #Digispark #Microphone #Sinewave #AudioVisualization

A small, simple display for household information over MQTT. Based around the ESP12F chip, with an integrated 128x64 OLED display for information visualization, and 20x LEDs to display general status information.

AquaTimer is a programmable timer for 12V devices such as lighting, solenoid valves or pumps not only for aquariums. It has three switchable channels for currents up to 2A each and up to 5A in total. Connected lighting can be dimmed if desired and slowly faded in and out to simulate sunrises and sunsets. The internal RTC of the ATtiny is used as a clockwork in conjunction with a 32.768kHz crystal. A backup battery keeps the clock running even if the external power supply is interrupted. Settings are made using three buttons and the OLED display.

Controller for vending machine. Use stm32f407, pressure sensor HX711, FRAM, TFT display connectivity.

The SparkFun ZOE-M8Q GPS Breakout is a high accuracy, miniaturized, GPS board that is perfect for applications that don't possess a lot of space. The on-board ZOE-M8Q is a 72-channel GNSS receiver, meaning it can receive signals from the GPS, GLONASS, BeiDou, and Galileo constellations. This increases precision and decreases lock time and thanks to the onboard rechargable battery you'll have backup power enabling the GPS to get a hot lock within seconds! Additionally, this u-blox receiver supports I2C (u-blox calls this Display Data Channel) which made it perfect for the Qwiic compatibility so we don't have to use up our precious UART ports. Utilizing our handy Qwiic system, no soldering is required to connect it to the rest of your system. However, we still have broken out 0.1"-spaced pins in case you prefer to use a breadboard.

Display of Adafruit-based components

Vehicle Display System for Tesla Roadster #project #Template #projectTemplate

Vehicle Display System for Tesla Roadster #project #Template #projectTemplate

Outdoor LoRa-GPS tracker with E-Ink display Original project github.com/hutscape

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.

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

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: USB and Battery Movement sensor

This project is a WiFi RF-ID Lock, which uses a Espressif ESP-8684 microcontroller for WiFi connectivity and a Handson Technology RC522 for RF-ID functionality. It also includes an OLED display and user control via a switch. A step-up power converter ensures consistent 3.3V power. #WiFi #MCU #ReferenceDesign #project #ESP8684 #lock #OLED #referenceDesign #simple-embedded #espressif #template #reference-design

1. Overview: The Pundit pendant is a wearable AI transcription assistant. An innovative device designed to seamlessly integrate into daily activities, providing real-time transcription and note-taking capabilities. Combining advanced AI algorithms with state-of-the-art hardware components, the device offers crystal clear audio recording, durable construction, and convenient features such as cloud synchronization, weatherproofing, and a vibrant display for animations and expressions. 2. Hardware Specifications: * Rechargeable Battery: Lithium-ion battery providing up to 150 hours of continuous operation. * Construction: Durable aluminum body ensuring longevity and protection against wear and tear. * Audio Quality: High-fidelity microphone array for clear and accurate transcription, with noise cancellation technology. * Weatherproofing: Sealed construction to withstand various weather conditions, making it suitable for outdoor use. * Versatile Mounting: Equipped with a magnetic clasp for easy attachment to clothing or accessories. * Connectivity: Wi-Fi and Bluetooth connectivity for seamless data transfer and integration with other devices. * Charging: USB-C port for fast and convenient charging, with support for various power sources. * Input Microphone Array: Multiple microphones strategically placed for optimal audio capture and transcription accuracy. * Display: Colorful screen for displaying animations, expressions, and status indicators, enhancing user interaction and personalization. 3. Software Features: * Real-time Transcription: Utilizes AI algorithms for instant transcription of spoken words into text, with high accuracy. * Note-taking: Automatically creates and organizes notes based on conversations, timestamps, and contextual cues. * Audio Recording: One-touch button for initiating audio recording, with options for manual or automatic saving. * Cloud Synchronization: Syncs transcription data to the cloud for easy access and retrieval from any device. * Speech Recognition: Advanced speech recognition technology for identifying speakers and distinguishing between multiple voices. * Language Support: Multilingual support for transcription and note-taking in various languages. * Customization: User-configurable settings for adjusting transcription preferences, language models, and display animations. * Security: Encryption and authentication protocols to ensure the privacy and security of transcription data. 4. Dimensions and Weight: * Dimensions: Compact and lightweight design for comfortable wearability. * Weight: Minimal weight to prevent discomfort during prolonged use. 5. Compatibility: * Operating Systems: Compatible with iOS, Android, and other major operating systems. * Applications: Integration with popular productivity and communication apps for seamless workflow management. 6. Warranty and Support: * Warranty: Manufacturer's warranty covering defects in materials and workmanship. * Support: Dedicated customer support for technical assistance, troubleshooting, and software updates. 7. Target Market: * Professionals: Ideal for professionals in various industries, including journalists, researchers, students, and business professionals. * Outdoor Enthusiasts: Suitable for outdoor activities such as hiking, camping, and fieldwork where reliable transcription and note-taking are essential. * Everyday Users: Provides convenience and efficiency for everyday tasks, such as meetings, lectures, and personal reminders. 8. Conclusion: The Wearable AI Transcription Assistant sets a new standard for wearable technology, offering unmatched transcription and note-taking capabilities in a compact and durable package. With its advanced features, seamless connectivity, vibrant display, and user-friendly design, it is poised to revolutionize how we capture and manage information in our daily lives while adding a touch of personality and fun with customizable animations and expressions.

The LoSS - ST LoRa Data Logger project is designed to collect and log data using LoRa connectivity. It includes interfaces for JTAG and UART communication. Key components include multiple capacitors, resistors, a crystal oscillator, and an NXP MCU. The device interacts with various sensors and transmits data periodically using LoRa technology. Interface elements include buttons and a display for user interaction.

This project is a wireless wearable glove (smart glove) for sign language translation. It uses Arduino Nano - ATMega328P, Accelerometer - ADXL345 and a Bluetooth module HC -05 to transmit and display the signs on any compatible display device like a mobile phone or a LCD - LM016L. In this project, I have used a 5x8 LCD display - LM016L to display the test converted. (strings, numbers etc.)

Control board for autonomous or radio-controlled robots. It has inputs to connect distance sensors and encoders for autonomous mode. It can be radio controlled by the ESP32 bluetooth or by connecting a Flysky RC controller receiver to the IBUS port. It also has 3 push buttons and you can connect some kind of display by I2C to visualize and select configuration modes. Forked from original project: https://www.flux.ai/jr98/esp32-robot-controller

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

This circuit is an ultrasonic distance meter based on an ATTiny2313 microcontroller. It uses an HC-SR04 ultrasonic sensor to measure distance and displays the results on an OLED display. The power supply is constructed using a Boost converter (TPS613222A) and a 2-cell AA battery. Additionally, it also includes ISP for programming, RESET and START switches, and LED indicators. #project #Template #projectTemplate #ultrasonic #OLED #arduino #attiny2313 #TPS613222A #ISP #referenceDesign #simple-embedded #microchip #template #reference-design .

This is a Kitchen Assistant Reference Design that runs on an ESP32 that connects to the network. The board has a microphone and bazer for communication and a display #referenceDesign #edge-computing #edgeComputing #espressif #template #esp32 #iot #i2s #reference-design

The Arduino Uno learner's kit with ESP32 is a versatile educational tool for beginners. It combines an Arduino Uno board with additional components like a 2-channel motor driver, 7-segment display, relay outputs, programmable LEDs, push buttons, and analog inputs. This kit enables learners to explore electronics, programming, robotics, home automation, and more. With the ESP32 module, Wi-Fi and Bluetooth connectivity are possible, expanding the range of projects. It's a comprehensive package that fosters creativity and knowledge in the exciting world of electronics and programming. #arduino #esp32

This is a smart watch project based on E73-2G4M04S1A module with SoC nRF52810 on board. OLED display and coin battery #wearable #nRF52810 #E73 #Ebyte #BLE #referenceDesign

This project is a BLE door and window sensor design that uses a U-blox BMD-330-A-R for BLE communication, a reed switch as a sensor, a multi-color LED for status display, and is powered by VBAT. There's also a programming interface and reset switch included. #WiFi #BLE #MCU #ReferenceDesign #project #referenceDesign #simple-embedded #ublox #template #reference-design

Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

@COPILOT Elimina piezas que tengan elementos metálicos en su estructura. El sistema cuenta con un sensor infrarrojo y uno inductivo, el primero detecta la presencia de una ficha en la zona y el segundo, identifica si una ficha contiene un elemento metálico. Si el sensor inductivo se activa se debe expulsar la ficha con el pistón, esta zona contabiliza el número de piezas rechazadas y las visualiza en un Display LCD

Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.

Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.

Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.

This project is a WiFi RF-ID Lock, which uses a Espressif ESP-8684 microcontroller for WiFi connectivity and a Handson Technology RC522 for RF-ID functionality. It also includes an OLED display and user control via a switch. A step-up power converter ensures consistent 3.3V power. #WiFi #MCU #ReferenceDesign #project #ESP8684 #lock #OLED #referenceDesign #simple-embedded #espressif #template #reference-design

Small personal dosimeter based on SBM-21 Geiger tube with OLED display.

CheckIt is a daily habit tool. When you complete a habit, flip a switch, then an LED lights up. Future work will include wiring the 24pin FPC port to the Pico which causes an e-paper screen to display a message when a switch is flipped. This PCB runs using a Raspberry Pi Pico and has plans to be battery powered similar to a digital alarm clock.

USB Type - C Multimeter. Designed for 5V-1A to 20V-5A PD charging. Features a generic OLED to display stats. Passthrough for voltage negotiation signals.

A fun project making a geeky wristwatch, using the QDSP-6064 bubble LED display.

USB-C Digital Compass Module with STM32, HMC5883L, TM1637 Display, and Enhanced Power Protection (JLCPCB-Ready)

Low-Power MCU-Based SPI TFT Display Board with Advanced Power Management and Protection

Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.

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!

This circuit is an ultrasonic distance meter based on an ATTiny2313 microcontroller. It uses an HC-SR04 ultrasonic sensor to measure distance and displays the results on an OLED display. The power supply is constructed using a Boost converter (TPS613222A) and a 2-cell AA battery. Additionally, it also includes ISP for programming, RESET and START switches, and LED indicators. #project #Template #projectTemplate #ultrasonic #OLED #arduino #attiny2313 #TPS613222A #ISP #referenceDesign #simple-embedded #microchip #template #reference-design