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

Introducing my USB-C to 4 USB-A Hub V1, a compact and efficient solution for expanding your device's connectivity. Easily connect multiple USB-A peripherals to a single USB-C port. The USB-C and USB-A high speed differential pairs were done with the help of Flux Automated Impedance Control. #USBCHub #Connectivity #project

Introducing my USB-C to 4 USB-A Hub V1, a compact and efficient solution for expanding your device's connectivity. Easily connect multiple USB-A peripherals to a single USB-C port. The USB-C and USB-A high speed differential pairs were done with the help of Flux Automated Impedance Control. #USBCHub #Connectivity #project

This project is an IoT development board based on the ESP32-H2-WROOM-03 module, featuring USB-C connectivity for power and communication. The board also includes two buttons, several decoupling capacitors, and a couple of connectors for peripheral connections. The onboard USB-to-UART bridge facilitates communication with a host device. #referenceDesign #esp32 #iot #esp32-h2 #project #template #reference-design

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

This bee hotel version is an intermediary version that implements some featuresets. The main feature that we are leaving out is Matter support over Zigbee (for a wider range in the backyard). In this version, we are implmenting: -Legacy WiFi/BT connectivity. -Camera with flash capability -Solar Charging -Energy Storage -Humidity and Temp Sensor

This bee hotel version is an intermediary version that implements some featuresets. The main feature that we are leaving out is Matter support over Zigbee (for a wider range in the backyard). In this version, we are implmenting: -Legacy WiFi/BT connectivity. -Camera with flash capability -Solar Charging -Energy Storage -Humidity and Temp Sensor

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. #ESP32 #UltrasonicSensor #WaterLevelSensor #LM2596 #VoltageRegulator #ModularDesign #IoT #DIYProjects #ElectronicsDesign #automation

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 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 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

Compact 4-channel power meter using ESP32-C3, ACS712 sensors, ADS1015 ADC, relay control and I²C connectivity for efficient energy monitoring. #PowerMeter #ESP32 #IoT #EnergyMonitoring

Project Title: Plant Monitoring and Irrigation System Overview: This system is based on the ESP32-S3 and is designed to manage irrigation for a multi-floor building. Key Features: Multi-Floor Operation: The system controls three separate floors. Each floor's irrigation can be managed independently. Irrigation and Pump Control: Each floor uses a solenoid valve to regulate water flow. The solenoid valves are operated via MOSFETs. A relay engages an AC water pump when a MOSFET triggers a solenoid valve. Hardware Interconnects: Screw Terminal connectors are added for connecting the solenoid valves and the motor pump. A DC Jack is included to supply power to the system. User Interface & Connectivity: Two JST connectors are provided for integrating an OLED display, a rotary encoder, and a pushbutton. Future enhancements may include the addition of soil moisture sensors. Remote Control: The system is designed for future integration with Blynk IoT. Blynk IoT will offer both manual control and timer-based irrigation modes for each floor.

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

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

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.

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

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

The Coffee Waker is a unique, full-featured coffee maker alarm clock designed to brighten your morning routine with the irresistible aroma of freshly brewed coffee. By seamlessly integrating multiple high-performance components onto a single main board, the Coffee Waker delivers both functionality and innovation: - **Processing & Connectivity:** Powered by an ESP32-S3, it offers built-in WiFi and Bluetooth, enabling smart scheduling, remote control, and over-the-air updates. - **Precision Sensing:** A 16-bit load cell ADC provides accurate measurements, ensuring precise weight sensing for coffee bean dosing or liquid volume monitoring. - **Quality Audio Output:** The onboard 16-bit MP3 DAC guarantees clear audio playback, from alarm sounds to any custom wake-up messages you program. - **Robust Power Handling:** With a 120V heater cartridge relay and a 12V wakeup light converter integrated, the board safely manages high voltage switching and provides a visually soothing light routine. - **Thoughtful Integration:** Designed with automotive-grade components, precision regulators, and careful signal routing, the Coffee Waker Main Board combines performance with reliability while keeping a compact footprint. Overall, the Coffee Waker transcends the ordinary alarm clock, merging daily utility with modern connectivity and a touch of luxury—making it the perfect addition to any nightstand. #CoffeeWaker #SmartHome #CoffeeMaker #AlarmClock #MorningRoutine #Technology #Innovation

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

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