NodeMCU V3 ESP8266 ESP-12E is WiFi development board that helps you to prototype your IoT product with few Lua script lines, or through Arduino IDE. The board is based on ESP8266 ESP-12E variant, unlike other ESP-12E, you won’t need to buy a separate breakout board, usb to serial adapter, or even solder it to a PCB to get started, you will only need a usb cable (Micro USB).

NodeMCU V3 ESP8266 ESP-12E is WiFi development board that helps you to prototype your IoT product with few Lua script lines, or through Arduino IDE. The board is based on ESP8266 ESP-12E variant, unlike other ESP-12E, you won’t need to buy a separate breakout board, usb to serial adapter, or even solder it to a PCB to get started, you will only need a usb cable (Micro USB).

A tiny microcontroller board, built around the Atmel ATtiny85, a little chip with a lot of power. We wanted to design a microcontroller board that was small enough to fit into any project, and low cost enough to use without hesitation. Perfect for when you don't want to give up your expensive dev-board and you aren't willing to take apart the project you worked so hard to design. It's our lowest-cost arduino-IDE programmable board!

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

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

Possible future project?

Lethal Company Pro Flashlight Broken Features: - U2M cannot be line powered from this circuit so the LED driver does not regulate. [Find the acompanying button board here](https://www.flux.ai/markwuflux/lethal-company-pro-flashlight-button-board) -Ultra bright -Makes click noise from speaker -Wirelessly transmits battery life (maybe use Ubo to receive this) -Drive a SST-40 Chinese LED I want this thing to be super bright! The brighter the better, but keep it simple. These LEDs will draw a lot of power, so we need some sort of CC source. It doesn't have to have high bandwidth. I am thinking about a DIY microcontroller buck converter with PID duty cycle control. Mistakes in this V1 design: - No pullup resistor on PG of Module1

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

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

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.

This project included the schematic and PCB layout of a coil winding machine circuit board. It uses Arduino Nano microcontroller, to count the number of turns and it can be used to replace manual coil winding process.

Rainbow is a pet collar project that would be programmed to send its location alerts whenever your pet is out of a predefined geofence. It also has a microphone and an accelerometer sensor to enable pet owners monitor their pets activities remotely #Pets #geofence #geolocation #collar #template

This project uses an ESP32 microcontroller and OV2640 camera to create a WiFi-enabled digital camera. It uses AMS1117 voltage regulators to provide regulated power, a CH340C for USB communication, and includes capacitors and resistors for circuit balance. Ideal for IoT and edge computing tasks. #referenceDesign #project #ESP32 #ESP32WROVER #RF #WIFI #MCU #referenceDesign #edge-computing #edgeComputing #espressif #template #reference-design

This project is a plant care system that uses an ESP32-S3-MINI-1U-N8 microcontroller to automate plant care tasks. This system includes three Songle relays, multiple resistors, capacitors, and transistors, all powered at 3.3V, 5V, or 12V. It also incorporates a USB Type-C connector. #referenceDesign #edge-computing #edgeComputing #espressif #template #iot #ESP32 #relay #reference-design

Requirements: -Daytime Operation Only -Track Bee Input/Output Directionality -Connects to House via WiFi TODO: -Connect EN high or low on MPPT IC -Finish Routing -Check Fill Thing Features: -MPPT Solar Power Conditioning -96% efficient IR LED Drive Next Version Feature Wants: Microphone!

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

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

An example development and reference design for the ESP32 microcontroller.

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

An example development and reference design for the ESP32 microcontroller.

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.

An example development and reference design for the ESP32 microcontroller.

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

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.

An example development and reference design for the ESP32 microcontroller.

This is a great battery-backed real time clock (RTC) that allows your microcontroller project to keep track of time even if it is reprogrammed, or if the power is lost. Perfect for datalogging, clock-building, time stamping, timers and alarms, etc. Equipped with PCF8523 RTC - it can run from 3.3V or 5V power & logic!

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 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

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

This project involves the design of a keypad lock system. It utilizes an ATMEGA328P microcontroller, buzzers, LEDs for indicator functions and a 4x3 matrix keypad. An in-circuit serial programming (ISP) header is also present for programming the microcontroller. #project #Template #projectTemplate #lock #keypad #arduino #atmega328 #TPS613222A #ISP #buzzer #referenceDesign #simple-embedded #microchip #template #reference-design

Spikeling V2.0 is an educational tool for neuroscience students and enthusiasts! It is an artificial neuron that can receive different inputs, integrate them and send an output out, just like a spiking neuron would! Technically, its microcontroller (an ESP32) runs the computationally efficient Izhikevich model of a spiking neuron.

Seeed Studio XIAO ESP32S3 leverages dual-core ESP32S3 chip, supporting both Wi-Fi and BLE wireless connectivities, which allows battery charge. It integrates built-in camera sensor, digital microphone. It offers 8MB PSRAM, 8MB FLASH, and external SD card slot. All of these make it suitable for embedded ML, like intelligent voice and vision AI. #SeeedStudio #xiao

An example development and reference design for the ESP32 microcontroller.

An example development and reference design for the ESP32 microcontroller.

Here's your template for the famous Raspberry Pi Pico Powerful, flexible microcontroller boards, available from $4 The Raspberry Pi Pico series is a range of tiny, fast, and versatile boards built using RP2040 #project-template #template #raspberry #pi #pico

An example development and reference design for the ESP32 microcontroller.

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

Explore the Raspberry Pi Pico Template Unleash the power of these flexible microcontroller boards, starting at just $4. The Raspberry Pi Pico series features a range of compact, high-performance boards powered by the RP2040 chip. #project-template #template #raspberry #pi #pico

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

This project is a plant care system that uses an ESP32-S3-MINI-1U-N8 microcontroller to automate plant care tasks. This system includes three Songle relays, multiple resistors, capacitors, and transistors, all powered at 3.3V, 5V, or 12V. It also incorporates a USB Type-C connector. #referenceDesign #edge-computing #edgeComputing #espressif #template #iot #ESP32 #relay #reference-design

This project is a LoRa temperature sensor. It uses the RP2040 microcontroller and a SHT31 temperature sensor and also RFM95 for LoRa communication #LoRa #referenceDesign #simple-embedded #raspberrypi #template #reference-design

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

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

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

An example development and reference design for the ESP32 microcontroller.

Smart Switch Board Make 3 existing lights/switches smart – by connecting it to the internet via an ESP32 microcontroller.