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.

Ultra-Low-Power Solar CO₂ Monitor with Programmable LoRa-E5, Low-Power I²C CO₂ Sensor, MPPT Solar Input and 10-Year Battery Life #co2 #lowpower #mppt #solar #lora #stm

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).

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.

The LoST 3296 board features an Low Power STM32, an RFM95 Module for LoRA connectivity and a connector to interface different sensors. You can hook up a UART module, I2C module and a module using the RS485. The board is powered by the USB-C port

10A MPPT Solar Charge Controller with dual USB ports using Low-power 32bit ARMCortex-M0+ MCU (STM32L072). Expandable via Olimex Universal Extension Connector (UEXT) featuring I2C

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

This is the multipurpose PCB that works with Arduino Nano, a way that you can run 2 Stepper motors, 2 DC motors, 2 Servo motors at the same time and this is not it you can even connect BT module, rotary encoder, I2C device, potentiometer at same time. This PCB is very much helpful in building any project and no need to worry about messy wire connections.

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.

An I2C extension shield with 6 shielded ethernet ports and a TCA9548 breakout board. This board is for the target side, any microcontroller with a standard Arduino header can use it. With proper target side hardware and an SSTP ethernet cable, the board provides robust i2c communication over 10ft(could be longer, haven't tested it yet) with a bitrate of 400kHz under a noisy environment( near motors, power cables, switches, etc). The shield board provides power to the target side and can power the i2c device. The board also supports drdy trigger, which is available on many i2c sensors. The TCA9548 breakout board is for a scenario in which all of your i2c devices have the same address. #Arduino #Uno #Shield #Template #project-template #project

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

The RC522 is a 13.56MHz RFID module that is based on the MFRC522 controller from NXP semiconductors. The module can supports I2C, SPI and UART and normally is shipped with a RFID card and key fob. It is commonly used in attendance systems and other person/object identification applications. #RFID #Module

This project is a IR camera sensor module based on the TSL25911FN sensor, equipped with I2C communication technique. The module features a 3.3V regulator, I2C level shifter, LEDs, capacitors, resistors, and JST connectors for easy interfacing. #project #Template #projectTemplate #sensor #IR #industrialSensing #referenceDesign #template #reference-design #polygon

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 is a reference design of a PCB utilizing the TMF8801-1BM time-of-flight (ToF) sensor from ams-OSRAM. It comprises electronic components such as resistors, capacitors, voltage regulators, and GPIO connectors. The logic signals are managed via Mosfets BSS138 while the Sensor IC is powered & controlled by a 3.3V AP2112K Voltage Regulator. #industrialSensing #referenceDesign #lzer #I2C #osramusa #template #reference-design

This breakout board features the STMPE610, which has both I2C and SPI interfaces available. There is also an interrupt pin that you can use to indicate when a touch has been detected to your microcontroller or microcomputer.

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.

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

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.

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 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

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

Optical Sensor Ultraviolet (UV) 330nm, 365nm I²C 4-TFLGA #commonpartslibrary #sensor #opticalsensor #ultraviolet

Vertical USB & I2C Interface Module – Organized Power/Data Terminal Block

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.

Objetivo: leer coordenadas X/Y en un panel resistivo casero con Arduino Nano. Componentes: Arduino Nano, 16 MHz, 5 V (1x) MCP23017, expansor I/O I²C de 16 pines (1x) ADS1115, ADC I²C 16 bits (1x) Panel táctil casero, 2 láminas aluminio (1x) Resistencias serie 4.7 kΩ – 10 kΩ (4x) Fuente 5 V (USB/external) Funcionamiento: MCP23017 controla X+/X-/Y+/Y- → aplica 5 V y GND al eje activo. Ejemplo: para leer X → MCP energiza X+/X-, deja Y flotante. ADS1115 mide voltaje en el eje sin energía (ej: Y+/Y-) en modo diferencial. Arduino Nano recibe lecturas por I²C, procesa coordenadas X/Y. Coordenadas enviadas por USB serial al PC. Conexiones: Arduino Nano ↔ I²C bus ↔ MCP23017 y ADS1115 (SDA, SCL en común). MCP23017 pines → X+/X-/Y+/Y- (con resistencias serie). ADS1115 entradas analógicas → eje libre (Y+/Y- o X+/X- según ciclo). Alimentación común: 5 V + GND.

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!

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.

I2C to dual PWM controller. The LED-Warrior18, manufactured by Code Mercenaries, is an I2C to dual channel PWM LED driver specifically designed to provide seamless brightness control for LED applications. This component, available in SOIC8 package (LW18-S) and as a ready-to-use module (LW18-01MOD), offers dual 16-bit PWM outputs with a dimming range from 0.001% to 100% and operates at a PWM frequency of 730 Hz. It supports programmable period lengths for higher-frequency or lower-resolution operation and includes an 8-bit data to logarithmic mapping feature for smoother dimming operations with just 256 steps. The LED-Warrior18 is engineered for minimal external circuitry with a 5V power supply requirement, offering ease of use in various lighting applications. It also features a sync mode for synchronized control of multiple units and customizable power-on status settings, making it highly versatile for standalone operations or integrated systems. Additionally, custom variants of both the chip and module are available, catering to specific application needs. The module version, LW18-01MOD, simplifies integration by including terminal blocks and supporting up to 4A load sink current for each output. The LED-Warrior18 stands out for its straightforward interface and operational flexibility, providing a comprehensive solution for advanced LED dimming and control projects.

This is the LSM9DS1TR IMU reference design. This reference design has a basic I2C circuit for communication built according to the manufacturer's recommendations #IMU #LSM9DS1TR #I2C #referenceDesign #stm #template #reference-design

NEO-M9N GPS Breakout with on-board chip antenna is a high quality GPS board with equally impressive configuration options. The NEO-M9N module is a 92-channel u-blox M9 engine GNSS receiver, meaning it can receive signals from the GPS, GLONASS, Galileo, and BeiDou constellations witn ~1.5 meter accuracy. This breakout supports concurrent reception of four GNSS. This maximizes position accuracy in challenging conditions, increasing precision and decreases lock time; and thanks to the onboard rechargeable 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.

This is the BMI088 IMU reference design. This reference design has a basic I2C circuit for communication built according to the manufacturer's recommendations #IMU #BMI088 #I2C #referenceDesign #bosch #template #reference-design

This I2C digital temperature sensor is one of the more accurate/precise we've ever seen, with a typical accuracy of ±0.25°C over the sensor's -40°C to +125°C range and precision of +0.0625°C. They work great with any microcontroller using standard I2C

This I2C digital temperature sensor is one of the more accurate/precise we've ever seen, with a typical accuracy of ±0.25°C over the sensor's -40°C to +125°C range and precision of +0.0625°C. They work great with any microcontroller using standard I2C

I2C Display Module 0.91 Inch I2C SSD1306 OLED Display Module

Display Module 5 x 32 Dots OLED I²C #Arduino #MKR #OLED

To optimize your 4-layer board manufacturing process with PCBway, utilize this comprehensive template. It incorporates a majority of the essential manufacturing constraints as global rules, ensuring a smoother and more efficient production workflow. #project-template #template #manufacturer-design-rules

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

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

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

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

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.

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 aims to design and develop a modular monitoring system for a LiC supercapacitor array, incorporating PCBs A and B for voltage sensing on either side of the array, and PCB C for central control. PCBs A and B will measure cell voltages, communicate data via I2C, and feature activity/status LEDs, powered directly from the array. PCB C will aggregate data, managing over/under voltage, overcurrent, and balancing. The goal is a compact, efficient solution to ensure the array's safety and longevity.

The TCA9555 is a 16-bit I/O expander for the 1.65-V to 5.5-V Vcc operation designed by Texas Instruments. It serves to enhance the general-purpose remote I/O expansion for most microcontroller families via the I2C interface. Key features of the TCA9555 include low standby-current consumption, 5-V I/O ports, 400-Khz fast I2C bus, and ESD protection. It finds applications across personal computers, servers, routers, industrial automation equipment, and products with GPIO-limited processors.

Compact ESP32-S3 Smart Glasses Starter PCB with OV2640 Camera, I2C Mux, I2S Audio, LiPo Charging, and USB-C Debug Interface