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

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

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

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

This is a reference design for PCA9615 IC 2-channel multipoint Fast-mode Plus differential I2C-bus with BME280 Humidity Temperature Sensor. Suitable for long-range I2C communication in harsh, EMI-noisy environment. #differencial #dI2C #industial #sensor #PCA9615 #project #template #industrialSensing #referenceDesign #nxp #template #reference-design #polygon

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

ESP32-C3 based weather station using the HPP845E031R4 temperature and humidity sensor. This small package also includes solar power and a FPC adapter for additions such as wind detection via the i2c or SPI communication protocols

Matter-enabled 8-channel Power Strip with built-in temperature and humidity sensor. #iot #esp32 #smarthome #matter

This is a reference design for PCA9615 IC 2-channel multipoint Fast-mode Plus differential I2C-bus with BME280 Humidity Temperature Sensor. Suitable for long-range I2C communication in harsh, EMI-noisy environment. #differencial #dI2C #industial #sensor #PCA9615 #Module #template #reusable #module #industrialsensing #nxp #sublayout

A simple Arduino weather shield which allows an Arduino Uno R3 to interface with: ● Barometric pressure sensor ● Phototransistor ● Humidity Sensor ● Temperature Sensor #Arduino #Uno #Shield #Template #project-template #project

Temperature, humidity and light sensors for your smart home.

Temperature, humidity and light sensors for your smart home.

Board packed with sensors to measure mainly pressure and temperature, but also acceleration, humidity, temperature.

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.

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.

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.

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

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

- 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