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

Proyecto de riego automatico, utilizando un esp32, con conexión wifi, toma de temperatura ambiente y humedad ambiente con un densor modelo DH. Varias tomas (3) de la humedad de la tierra mediante un sensor capacitivo, Salida para activar tres electrovalvulas de 12 voltios. Alimentación o por baterías o por paneles solares

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

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

This project is a distance detecting sensor circuit build around GP2Y0D805Z0F IC from SHARP/Socle Technology. It includes decoupling capacitors, feedback resistors, and a LED for signal indication, with power being supplied via the J1 connector. #referenceDesign #industrialsensing #sharp #template #reference-design

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

This project is a distance detecting sensor circuit build around GP2Y0D805Z0F IC from SHARP/Socle Technology. It includes decoupling capacitors, feedback resistors, and a LED for signal indication, with power being supplied via the J1 connector. #referenceDesign #industrialsensing #sharp #template #reference-design

NRF52840 evaluation board with a battery charger (BQ24072), display(Adafruit 1.47" 172x320 ST7789), and a trackball sensor (PAT9130)

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

Learn how to design PCBs faster with generative AI in this 20 minute hands-on tutorial. You’ll learn how to use Flux Copilot, an AI-powered hardware design assistant, to research parts, review your design, and even connect components. https://youtu.be/FL7e0OXTLic

Use this Copilot's template to design audio applications like amplifiers, mixers, processors, etc. Modify project requirement properties to adapt to specific needs. #template #project-template

Design challenge: build a new PCB exclusively with Flux Copilot. Each day for 30 days, I'm using a new Copilot prompt to design a board with the RP2040. Follow the Twitter thread: https://twitter.com/ntzova/status/1671868701954519041

RP2040 Design using only Copilot's generative AI capabilities.

Smart Thermostat design using an ESP32 module for WiFi connectivity and a BME680 sensor for environmental monitoring. The user interface includes an E-ink display and an encoder for settings adjustment. Power: USB and Battery Movement sensor

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.

A compact battery-powered door/window sensor built around the ESP32-C3-MINI-1-N4 module. The design uses a single non-rechargeable AA cell with a TPS613221A 3.3 V boost regulator, reed switch magnetic contact sensing, low-power wake/report/sleep firmware strategy, RGB status LED for setup feedback, BOOT/EN controls, programming header, and input polarity protection. It is intended for smart-home security and automation applications, supporting WiFi or Bluetooth LE hub reporting with emphasis on low idle current, reliable RF burst power delivery, and field-replaceable battery operation. #ESP32-C3 #BLE #WiFi #DoorSensor #WindowSensor #ReedSwitch #LowPower #BatteryPowered #SmartHome #IoT

Design a circuit that detects the presence of the infrared signal. The circuit should light a red LED when infrared signal is detected otherwise it should light a green LED. You may use NPN transistors, IR LED, Photodiode, Red LED, Green LED and a rectifier diode.

The Open-Source Laptop Webcam Module is a critical component of our open-source laptop initiative. This module will provide high-definition video capture capabilities while adhering to the principles of open-source design. The module must integrate seamlessly with the laptop’s mainboard, ensuring compatibility, ease of assembly, and potential for future upgrades.

This project involves designing a PCB for the lid assembly of an open-source laptop. The design integrates various sensors, including a microphone, camera, and ambient light sensor, ensuring precise alignment with the display glass. It features touch sensors to control LED lighting, spring-loaded contacts for touch-key interaction, and 3D-printed light diffusers for efficient lighting. Additionally, the PCB includes a power management system with status LEDs and a PFC for connecting to the external laptop PCB. The goal is to create a versatile, upgradeable, and user-friendly component for the laptop's lid. Specific parts of the project include 1. Microphone - Audio input capture 2. Ambient Light Sensor Module - Light intensity measurement 3. Camera - Video capture 4. LDO Regulators (3 TLV74 Series) - Voltage regulation for different components 5. Crystal - Clock generation 6. Touch Sensor Controller - Touch-key interaction 7. Flip-Flop - State keeping in logic circuits 8. LEDs (LTRBR37G Series) - Lighting indication 9. FPC Connector - Interface with main laptop PCB

This project is a reference design for an ESP32-WROOM-32E based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #reference-design

Use this template to ensure your design is manufacturable.

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

This is the general design of the R7FA4M1AB3CFM with the minimum configuration for its operation and USB C with LDO and SD card #arm #M4 #IoT #referenceDesign #mcu #renesas #template #reference-design