3D Camera Module is a scalable SPI enabled 4 camera array pinout for 3D photogrammetry reconstruction which uses I2C to connect between each module to expand camera capacity while keeping capture sequences in sync. It uses ATMega32U4 with its built in USB 2.0 for data transfer and camera array adjustments and capture as well as a micro SD card slot for local image storage. An interrupt logic pinout should be used on the SPI master module as capture command. Each module is powered via USB-C (5V) or barrel jack (12V regulated to 5V).

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.

I'm building an audio amplifier. These are the project requirements: - Type of Amplifier: Class D (for energy efficiency). - Input Source: Line-level input from a standard audio source, e.g., mobile phone or PC. - Output Power: 10W per channel (for a stereo setup). - Number of Channels: 2 (stereo output). - Distortion: Total Harmonic Distortion (THD) of less than 0.1% at full power. - Frequency Response: 20Hz to 20kHz. - Power Supply: Operate from a single 12V DC source. - Protection: Over-current and thermal protection for the amplifier IC. - Connectivity: Standard 3.5mm audio jack for input and screw terminals for speaker outputs. - Volume Control: A physical potentiometer for volume control. - Indicator: An LED indicator that shows power ON status. - Size Constraints: PCB size should not exceed 100mm x 100mm. Consider every requirement individually when answering any question

Guitar pedal starter template based on project by Mark Wu. Includes schematic and PCB layout for basic DIY pedal hardware. This includes two 1/4" jacks (one for input and one for output), a 9V power supply (including LED), a 3PDT true bypass wiring setup, and an example potentiometer that can be copy/pasted throughout the circuit. The headers are meant to be unpopulated so that wires can be soldered to the pads. PCB design rules imported from the JLCPCB 2-layer stackup template. #template

This is a class d amplifier with both Bluetooth and Audio Jack connectivity. The power should be a regulated 24 vdc. This project is centralized around the TPA3116D2 class D audio amplifier.

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.

Power Barrel Connector Jack 2.10mm ID (0.083"), 5.50mm OD (0.217") Through Hole, Right Angle #Barrel_Jack_MountingPin

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!

PCB design for Beavis Audio Research's Noisy Cricket Amp. Designed to be an onboard amp for an instrument with a speaker in the body. JFET buffer replaced with op-amp buffer from Jack Orman because JFETs are currently hard to find. LED is dimmer than the original because my eyes are sensitive. ☀️ http://beavisaudio.com/projects/noisycricket/ https://electrosmash.com/noisy-cricket-analysis

Guitar pedal starter template based on project by Mark Wu. Includes schematic and PCB layout for basic DIY pedal hardware. This includes two 1/4" jacks (one for input and one for output), a 9V power supply (including LED), a 3PDT true bypass wiring setup, and an example potentiometer that can be copy/pasted throughout the circuit. The headers are meant to be unpopulated so that wires can be soldered to the pads. PCB design rules imported from the JLCPCB 2-layer stackup template. #template

Guitar pedal starter template based on project by Mark Wu. Includes schematic and PCB layout for basic DIY pedal hardware. This includes two 1/4" jacks (one for input and one for output), a 9V power supply (including LED), a 3PDT true bypass wiring setup, and an example potentiometer that can be copy/pasted throughout the circuit. The headers are meant to be unpopulated so that wires can be soldered to the pads. PCB design rules imported from the JLCPCB 2-layer stackup template. #template

Guitar pedal starter template based on project by Mark Wu. Includes schematic and PCB layout for basic DIY pedal hardware. This includes two 1/4" jacks (one for input and one for output), a 9V power supply, a 3PDT true bypass wiring setup, and an example potentiometer that can be copy/pasted throughout the circuit. size is a good default size for a 125B enclosure. The headers are meant to be unpopulated so that wires can be soldered to the pads. PCB design rules imported from the JLCPCB 2-layer stackup template. Meant to be used with the 3PDT Breakout Board on my profile. #template

sEMG prototype

sEMG prototype

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

Microphone module with volume control and 3.5mm jack return and XLR3 output, in progress

Stereo headphone amp meant to fit in a pedal enclosure for use on a pedalboard. Buffers the signal, then splits it to an output meant to go to a mixer and a headphone out. The headphone amp circuit is applied to the signal before the headphone jack. Originally designed to give the ability to run effects after an amp simulator pedal with no effects loop. Example chain: amp sim > wet effects > headphone amp > mixer. References: https://electrosmash.com/images/tech/klon-centaur/klon-centaur-power-supply.png https://aionfx.com/app/files/docs/refractor_documentation.pdf https://www.muzique.com/lab/buffers.htm

This project aims to build an Audio Amplifier using the TDA2822 IC. The TDA2822 is a commonly used dual-channel audio amplifier that can deliver high power output. The amplifier will be designed to drive two speakers with volume control and the audio input can be directly provided through an audio jack. This project is inspired by my class Analogue and Digital electronics.

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.

The Arduino Nano is a small, complete, and breadboard-friendly board based on the ATmega328 (Arduino Nano 3.x). It has more or less the same functionality of the Arduino Duemilanove, but in a different package. It lacks only a DC power jack, and works with a Mini-B USB cable instead of a standard one.

The Arduino Nano is a small, complete, and breadboard-friendly board based on the ATmega328 (Arduino Nano 3.x). It has more or less the same functionality of the Arduino Duemilanove, but in a different package. It lacks only a DC power jack, and works with a Mini-B USB cable instead of a standard one.

3D Camera Module is a scalable SPI enabled 4 camera array pinout for 3D photogrammetry reconstruction which uses I2C to connect between each module to expand camera capacity while keeping capture sequences in sync. It uses ATMega32U4 with its built in USB 2.0 for data transfer and camera array adjustments and capture as well as a micro SD card slot for local image storage. An interrupt logic pinout should be used on the SPI master module as capture command. Each module is powered via USB-C (5V) or barrel jack (12V regulated to 5V).

3D Camera Module is a scalable SPI enabled 4 camera array pinout for 3D photogrammetry reconstruction which uses I2C to connect between each module to expand camera capacity while keeping capture sequences in sync. It uses ATMega32U4 with its built in USB 2.0 for data transfer and camera array adjustments and capture as well as a micro SD card slot for local image storage. An interrupt logic pinout should be used on the SPI master module as capture command. Each module is powered via USB-C (5V) or barrel jack (12V regulated to 5V).

3.5mm switched mono audio jack

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.