ESP32 Battery Management System Controller Board – An innovative solution for smart power control and audio recording integration. This cutting-edge board harnesses the power of the ESP32 microcontroller to deliver precise battery management and seamless integration with an S3 Voice Recorder subsystem. Perfect for advanced IoT applications, the board’s robust design ensures reliable energy optimization, remote monitoring, and real-time performance coupled with high-quality voice recording capabilities. Experience enhanced connectivity, efficient power regulation, and smart audio functionality, all in one compact package that paves the way for next-generation smart devices. #ESP32 #BatteryManagement #VoiceRecorder #IoT #SmartDevices #ControllerBoard

The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #internetOfThings #smartHomeDevices #SeeedStudio #XIAO #LoRa #RP2040 #IoT

Brave is a versatile and efficient power board that can provide 12v, 5v and 3.3v outputs for various applications. It can be powered by battery or solar panel, and the battery can be recharged by solar energy. It can also be powered by a USB port if needed. This board is ideal for IoT projects that require reliable and stable power supply in different environments. #internetOfThings #IoT #power #management #usb

ESP32-S3-PLC For Home and Small Industry, include 8 12V SSR to control DC and AC Current, 8 isolated I/O and a ESP32 as a brain with a USB C to upload the code and the connectivity advantages of the ES32 like WIFI and Bluetooth.

This is a Pet Tracker Reference Design based on STM32L4. Tracker connects with network by SIM800L module connected to the STM. Also MCU connected to the GPS by uart and send data to server #STM32 #GPS #G4 #G3 #LTE #IoT #Tracker #smartHomeDevices #referenceDesign #edge-computing #edgeComputing #stm #template #referenceDesign

Check out the winning project at the SF climate hardware hack! This project intends to bring smart IoT capabilities to homes for native bees so that more people can provide them housing and we can all participate in citizen science to gather more information about the bees! Requirements: -Daytime Operation Only -Track Bee Input/Output Directionality -Connects to House via WiFi Features: -MPPT Solar Power Conditioning -96% efficient IR LED Drive Next Version Feature Wants: Microphone!

Build connected IoT solutions using Copilot's template that guides on communication protocols, power consumption, and security measures. Tailored answers assist in designing smart sensors and actuators, with customizable requirement properties. #wearableDevices #internetOfThings

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

This project is a reference project for ESP32-S3-WROOM-1 to develop your IoT ideas. The board has 3 LEDs, USB C for firmware, EN and BOOT buttons, and 2 IO connectors for development #IoT #WiFi #MCU #RF #ESP32 #referenceDesign #project

Discover the benefits of the HC32L110 microcontroller with our compact and versatile breakout board, designed to streamline development and testing for various applications. This user-friendly solution offers essential components like decoupling capacitors, a 32MHz crystal oscillator, and accessible power supply connections. The breakout board also features 0.1" pitch connectors, allowing for easy integration of I/O pins into any project. Unlock the full potential of the HC32L110B6YA-CSP16 microcontroller for rapid prototyping and smooth deployment with our ingeniously designed breakout board.

This project is designed to measure water level of two tanks using ultrasonic sensors interfaced with the ESP32 microcontroller. The design leverages the processing power and wireless connectivity of the ESP32 to accurately monitor water levels and support automated water management processes. Key components include two ultrasonic sensors for precise distance measurement, robust voltage regulation using an LM2596 buck converter, and reliable power management circuits. Its modular design approach facilitates easy expansion and integration with other systems, making it an ideal solution for both DIY enthusiasts and professionals in automated fluid control and IoT applications. Firmware: https://github.com/jharwinbarrozo/ESP32-Dual-Ultrasonic-Water-Level-Monitoring-System #ESP32 #UltrasonicSensor #WaterLevelSensor #LM2596 #VoltageRegulator #ModularDesign #IoT #DIYProjects #ElectronicsDesign #automation

Check out the winning project at the SF climate hardware hack! This project intends to bring smart IoT capabilities to homes for native bees so that more people can provide them housing and we can all participate in citizen science to gather more information about the bees! Requirements: -Daytime Operation Only -Track Bee Input/Output Directionality -Connects to House via WiFi Features: -MPPT Solar Power Conditioning -96% efficient IR LED Drive Next Version Feature Wants: Microphone!

Arduino Electrical Control Shield -Redundant Temp. Sense -Geometric Monitoring -Dual RS232 Communication -USB Communication -Dual Motor Control -5 24V Control Relays -15 10V Analog IO -22 24V Protected IO

This Weather Station Logger project employs the versatile ESP32 microcontroller board, integrated with an SD card slot for data storage. It features a USB interface for easy programming and is efficiently powered by a single 18650 battery, complete with a protection circuit for safe operation. #iot #esp32 #lora #weather #edgecomputing

This project is a LoRa data logger implementing the i.MX RT1010 microcontroller. It collects and logs data through the LoRa-E5 module and stores the data via a TF card. Capacitors and resistors are used to construct the necessary circuits, ensuring proper functionality. This system is ideal for long-distance, low-power IoT applications. #project #LoRa #RT1010 #SDCARD

Balancing board for zinc batteries controlled by ESP32 via IO expander. Information about the state of each battery will be uploaded to the cloud

This is a WiFi relay board based on ESP32-H2 WiFi module. It have AC-DC power supply with output 12V and relay for controlling voltage #esp32 #project #Relay #wifi #esp32-h2 #iot #template

Green Dot 2040E5: Robust LoRa/RS485 IoT Node

This project is a doorbell system reference design with an integrated camera. It leverages an ESP32 microcontroller for processing, along with various components including resistors, buzzers, and transistors. The system also features a charging circuitry with a USB-C connection for power supply. #referenceDesign #edge-computing #edgeComputing #SeeedStudio #template #iot #esp32#camera #reference-design

This is a project of an energy-efficient temperature and humidity sensor that works via Zigbee #Zigbee #sensor #iot #template #project

ESP32-S3-PLC For Home and Small Industry, include 8 12V SSR to control DC and AC Current, 8 isolated I/O and a ESP32 as a brain with a USB C to upload the code and the connectivity advantages of the ES32 like WIFI and Bluetooth.

This compact breakout board makes it easy to add high-quality audio output to your microcontroller projects using the MAX98357A/B Class D audio amplifier. Perfect for Arduino, ESP32, Raspberry Pi, or any microcontroller with I2S output capabilities. Features High-Performance Audio: Delivers Class AB audio quality with Class D efficiency (92% efficient at 1W) Powerful Output: 3.2W into 4Ω speakers at 5V supply Clean Sound: Low distortion (0.013% THD+N at 1kHz) Wide Supply Range: Operates from 2.5V to 5.5V Simplified I2S Interface: No MCLK required, just BCLK, LRCLK, and DIN Selectable Gain: Solder jumpers for easy gain selection (3dB, 6dB, 9dB, 12dB, or 15dB) Channel Selection: Configure for left, right, or combined (mono) output Filterless Design: No need for external output filtering components Compact Form Factor: Minimal board space with optimized layout Applications Smart speakers and voice assistants Portable audio devices IoT audio projects Gaming devices and sound effects Educational audio projects Digital instrument amplification The FLUX MAX98357 breakout board requires only three I/O pins plus power, making it the perfect audio solution for projects where simplicity and sound quality matter.

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

Relay based on ESP8266 Max current ------- 15A Max Voltage ------- 250V #relay #esp8266 #iot

It is a board based on STM32L4 with a built-in ethernet IC W5500 that allows you to create IoT projects based on the modern ARM Cortex®-M4 core. A connector with SWD interface and USB C for communication are provided for the firmware #IoT #ARM #STM #Ethernet #W5500 #IC #project

The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #Seeed #XIOA #LoRa #RP2040 #IoT

The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #Seeed #XIOA #LoRa #RP2040 #IoT

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

Seeed Studio XIAO ESP32C6 is powered by the highly-integrated ESP32-C6 SoC, built on two 32-bit RISC-V processors, with a high-performance (HP) processor with running up to 160 MHz, and a low-power (LP) 32-bit RISC-V processor, which can be clocked up to 20 MHz. There are 512KB SRAM and 4 MB Flash on the chip, allowing for more programming space, and binging more possibilities to the IoT control scenarios.

This project is a reference project for ESP32-S3-MINI-1 to develop your IoT ideas. The board has RGB LEDs, USB C for firmware, EN and BOOT buttons, and 2 IO connectors for development #IoT #WiFi #MCU #RF #ESP32 #project #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a reference project for ESP32-S3-WROOM-1 to develop your IoT ideas. The board has 3 LEDs, USB C for firmware, EN and BOOT buttons, and 2 IO connectors for development #IoT #WiFi #MCU #RF #ESP32 #project #referenceDesign #simple-embedded #espressif #template #reference-design

A low-power, single-core Wi-Fi high-performance microcontroller SoC with a rich set of IO capabilities. #esp32 #wifi #low-power

nRF52840 part of Boron development kit from Particle io.

100 W, 7–55 MHz Broadband Class‑AB RF Power Amplifier for Yaesu FT‑818 with 50 Ω I/O, 13.8 V/15 A Supply, Relay T/R Switching, PTT/ALC Interface, Selectable 5th‑Order Chebyshev LPF Bank, and Overtemperature‑Controlled Fan Support

A low-power, single-core Wi-Fi high-performance microcontroller SoC with a rich set of IO capabilities. #esp32 #wifi #low-power

como puedo corregir este codigo para que funcione en flux.io import time import random import matplotlib.pyplot as plt import io import base64 from fluxio import Flow flow = Flow() @flow.task def linear_search(arr, target): for i in range(len(arr)): if arr[i] == target: return i return -1 @flow.task def binary_search(arr, target): low = 0 high = len(arr) - 1 while low <= high: mid = (low + high) // 2 if arr[mid] == target: return mid elif arr[mid] < target: low = mid + 1 else: high = mid - 1 return -1 @flow.task def measure_time(func, arr, target): start_time = time.time() func(arr, target) end_time = time.time() return end_time - start_time @flow.task def generate_data_and_measure(): sizes = [100, 1000, 5000, 10000, 50000, 100000] linear_times = [] binary_times = [] for size in sizes: arr = random.sample(range(size * 2), size) target = random.choice(arr) sorted_arr = sorted(arr) linear_time = measure_time(linear_search, arr, target) binary_time = measure_time(binary_search, sorted_arr, target) linear_times.append(linear_time) binary_times.append(binary_time) return sizes, linear_times, binary_times @flow.task def plot_results(sizes, linear_times, binary_times): plt.plot(sizes, linear_times, label='Búsqueda Lineal') plt.plot(sizes, binary_times, label='Búsqueda Binaria') plt.xlabel('Tamaño del Array') plt.ylabel('Tiempo de Ejecución (segundos)') plt.title('Análisis de Complejidad Temporal') plt.legend() plt.grid(True) buf = io.BytesIO() plt.savefig(buf, format='png') buf.seek(0) img_str = base64.b64encode(buf.read()).decode('utf-8') plt.close() return img_str @flow.task def main(): sizes, linear_times, binary_times = generate_data_and_measure() img_str = plot_results(sizes, linear_times, binary_times) return img_str if __name__ == "__main__": flow.run(main)

Arduino Electrical Control Shield -Redundant Temp. Sense -Geometric Monitoring -Dual RS232 Communication -USB Communication -Dual Motor Control -5 24V Control Relays -15 10V Analog IO -22 24V Protected IO

A self-contained “retro PC” platform built around the ESP32, exposing classic PC-style IO: VGA video, PS/2 keyboard/mouse, audio-out to an onboard speaker, microSD storage, plus USB-C for power and USB-UART for programming/debug.

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!

ESP32-S3-PLC For Home and Small Industry, include 8 12V SSR to control DC and AC Current, 8 isolated I/O and a ESP32 as a brain with a USB C to upload the code and the connectivity advantages of the ES32 like WIFI and Bluetooth.

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

Specially designed for IoT ESP-WROOM-32E-based main controller board with dual-core chips. #ESP32 #ESP32WROOM #RF #WIFI #MCU

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

Brave is a versatile and efficient power board that can provide 12v, 5v and 3.3v outputs for various applications. It can be powered by battery or solar panel, and the battery can be recharged by solar energy. It can also be powered by a USB port if needed. This board is ideal for IoT projects that require reliable and stable power supply in different environments. #IoT #power #management #usb

Shield for measuring voltage/current using three ACS712s. The shield is suitable for your IoT devices where power monitoring is required, such as a solar station

This is a motion detector circuit using an ESP32 microcontroller and PIR sensor. It features USB-C connectivity, RGB LED indication, push buttons and is powered by a 3.3V supply. #referenceDesign #edge-computing #edgeComputing #espressif #template #iot #PIR #esp32 #reference-design

@copilot I want to build an Iot device for fish farming which can measure physicochemical variables of the water, the system must be afloat in the water, must have solar panels for power and batteries, must be ultra low power and compact, I need you to recommend me that microcontolador use and other components and ideas that can make this device unique.

ORACLE IoT ECM