This project involves designing a versatile IoT sensor hub using the ESP32-WROOM-32E module. The main objective is to create a platform that enables seamless data collection and transmission from various environmental sensors over a WiFi network. The device will feature USB-C for power and data transfer, and will utilize on-board voltage regulation to ensure stable operation. A CH340C chip is employed for USB to serial conversion, facilitating easy programming and communication with a host computer. Key Features: Wireless Connectivity: Leverage the ESP32's built-in WiFi capabilities for real-time data transmission to cloud-based platforms or local servers. USB-C Interface: Utilize a modern USB-C connector for power and data transfer, providing flexibility and future-proofing the design. On-board Voltage Regulation: Include an AMS1117-3.3 voltage regulator to maintain a stable 3.3V output from the USB input, protecting sensitive components. Support for Multiple Sensors: Integrate various GPIOs to connect multiple sensor types ( temperature, humidity, air quality ) (temperature, humidity, air quality) for comprehensive environmental monitoring. Expandability: Design with additional headers for future expansion, enabling users to customize and extend the hub's capabilities with additional sensors or modules. Applications: Smart Home Automation: Integrating with home systems to monitor and respond to environmental changes. Environmental Monitoring: Providing data for ecological studies or urban environment monitoring. Industrial IoT: Enhancing systems within a factory or industrial setting to track conditions in real-time. With this setup, the device aims to be a robust and adaptable piece of technology, suitable for hobbyists, researchers, and developers interested in the expanding world of IoT.

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

ESP8684H4 based thermostat module which will control the heater. The module will have 18650 Li-Ion battery cell with 3.7V nominal voltage. The module also has a switch-mode buck NVDC power path which can simultaneously charge the battery and provide power to the system. The system voltage is 3.3V. Input voltage is 5V from USB-C. The system also contains a temperature, humidity and pressure sensor. The Wi-Fi and Bluetooth antenna implemented by PCB tracks.

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.

Temperature, humidity and light sensors for your smart home.

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

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

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.

A temperature & humidity shield based on Arduino Nano 33. A nice shield for your IoT projects! #Arduino #IoT #Shield #template #project #shield #bme

A temperature & humidity shield based on Arduino MKR Vidor 4000. A nice shield for your IoT projects! #arduino #mkr #bme #fpga

The Pico-Environment-Sensor gives Raspberry Pi Pico the ability to collect environment data like temperature & humidity, air pressure, ambient light #RaspberryPi #Raspberry #Pi #RPi #Pico #template #project #project-template #hat

The Pico-Environment-Sensor gives Raspberry Pi Pico the ability to collect environment data like temperature & humidity, air pressure, ambient light #RaspberryPi #Raspberry #Pi #RPi #Pico #template #project #project-template #hat

Autonomous irrigation system for up to 4 individual pots. It has an integrated humidity, pressure and temperature sensor, as well as 4 ports for soil moisture sensors. #esp32 #iot #matter

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

The Pico-Environment-Sensor gives Raspberry Pi Pico the ability to collect environment data like temperature & humidity, air pressure, ambient light #RaspberryPi #Raspberry #Pi #RPi #Pico #template #project #project-template #hat

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

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

This is a board for energy-efficient projects, based on STM32 with a BQ25570 controller and a temperature humidity sensor. There is also a display and a supercapacitor in the role of power supply #MPPT #solar #STM32 #ti

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

BME280 Humidity + Barometric Pressure + Temperature Sensor

Humidity Temperature Sensor 0 ~ 100% RH I²C, SPI ±3% with 4 pins

The Pico-Environment-Sensor gives Raspberry Pi Pico the ability to collect environment data like temperature & humidity, air pressure, ambient light #RaspberryPi #Raspberry #Pi #RPi #Pico #template #project #project-template #hat

USB-C Powered ESP32-C3 + SHT45 Wi-Fi Temperature & Humidity Sensor Node

USB-C Powered ESP32-C3 + SHT45 Wi-Fi Temperature & Humidity Sensor Node

USB-C Powered ESP32-C3 + SHT45 Wi-Fi Temperature & Humidity Sensor Node

USB-C Powered ESP32-C3 + SHT45 Wi-Fi Temperature & Humidity Sensor Node

Low-Power USB-C Temperature & Humidity Sensor Node with Wi-Fi and BLE

USB-C Powered WiFi/BLE Indoor Humidity & Temperature Sensor Node

WiFi/Bluetooth Humidity Sensor Board with ESP32 and I2C Integration

WiFi/BLE Smart Humidity Sensor with ESP32 and SHT31-DIS-B, Powered by 5V Barrel Jack

ESP32-Based Smart Wi-Fi/BLE Humidity & Temperature Sensor Board

5V Wi-Fi/BLE Humidity Sensor with ESP32-WROOM-32, SHTC3, and AP63203WU-7 Buck Regulator

The Pico-Environment-Sensor gives Raspberry Pi Pico the ability to collect environment data like temperature & humidity, air pressure, ambient light #RaspberryPi #Raspberry #Pi #RPi #Pico #template #project #project-template #hat

The Pico-Environment-Sensor gives Raspberry Pi Pico the ability to collect environment data like temperature & humidity, air pressure, ambient light #RaspberryPi #Raspberry #Pi #RPi #Pico #template #project #project-template #hat

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

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

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

The Pico-Environment-Sensor gives Raspberry Pi Pico the ability to collect environment data like temperature & humidity, air pressure, ambient light #RaspberryPi #Raspberry #Pi #RPi #Pico #template #project #project-template #hat

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.

A temperature & humidity shield based on Arduino Nano 33. A nice shield for your IoT projects! #Arduino #IoT #Shield #template #project #shield #bme

Weather Station controlled by STM32F031F6P6 MCU. 2x humidity and temperature sensors. USB powered

The Pico-Environment-Sensor gives Raspberry Pi Pico the ability to collect environment data like temperature & humidity, air pressure, ambient light #RaspberryPi #Raspberry #Pi #RPi #Pico #template #project #project-template #hat

Greenhouse controller with temperature and humidity control Input voltage 12v led voltage: 12v humidifier voltage: 5V Display: i2c 0.96 OLED display sensor: htu21d i2c

Humidity regulator

Weather Station controlled by STM32F031F6P6 MCU. 2x humidity and temperature sensors. USB powered

Humidity regulator

- ESP32 DevKitC V4 (microcontroller) - 2x BME280 sensors (temperature, humidity, pressure) - 8ch relay board with 12VDC relays (NO/NC SPDT) - 12VDC power supply - USB connectivity - Various components (resistors, caps, opto couplers, op-amps, motor drivers, multiplexers) - 2x SPDT relay boards (for fan fail-safe) - 4x 2ch bidirectional level controllers (3.3V to 5V) - ESP32 GPIO 21 (SCL) to BME280's SCL - ESP32 GPIO 22 (SDA) to BME280's SDA - ESP32 GPIO 5 (digital output) to 8ch relay board input - ESP32 GPIO 25 (PWM output) -> Fan PWM (0-255 value) - ESP32 GPIO 26 (PWM output) -> Light PWM (0-255 value) - ESP32 GPIO 34 (analog input) -> Tachometer input (0-4095 value, 12-bit ADC) - Add a 5V voltage regulator (e.g., 78L05) to power the ESP32 and other 5V components - Add a 3.3V voltage regulator (e.g., 78L03) to power the BME280 sensors and other 3.3V components - Include decoupling capacitors (e.g., 10uF and 100nF) to filter the power supply lines - Ensure proper grounding and shielding to minimize noise and interference -- Power supply: - VCC=12VD Available, to be used for LM358P - 5V voltage regulator (78L05) - VCC=5V, GND=0V - 3.3V voltage regulator (78L03) - VCC=3.3V, GND=0V - 3.3V voltage regulator (78L03) - VCC=3.3V, GND=0V - Fan PWM boost: - Input (3.3V PWM): 0-3.3V, frequency=20kHz - Output (5V PWM): 0-5V, frequency=20kHz - LM358P op-amp (unity gain buffer) - VCC=5V, GND=0V - R1=1kΩ, R2=1kΩ, R3=1kΩ, R4=1kΩ - C1=10uF (50V), D1=1N4007 - 0-10V signal conditioning: - Input (3.3V PWM): 0-3.3V, frequency=13kHz - Output (0-10V): 0-10V, frequency=13kHz - LM358P op-amp (non-inverting amplifier) - VCC=5V, GND=0V - R5=2kΩ, R6=1kΩ, R7=2kΩ, R8=1kΩ, R9=1kΩ, R10=2kΩ - C2=10uF (50V), R11=10kΩ (1%) ------------------------------------ Fan PWM Boost (3.3V to 5V): 1. ESP32 GPIO 25 (PWM output) -> R1 (1kΩ) -> VCC (3.3V) 2. ESP32 GPIO 25 (PWM output) -> R2 (1kΩ) -> Vin (LM358P) 3. LM358P (Voltage Follower): - VCC (5