Low-power USB-C 5V environmental sensor node with ESP32-S3 WiFi/BLE, digital temperature/humidity sensing, protected 5V input path, and 3.3V regulation.

This is a reference design of the Bluetooth Low-Energy (BLE) temperature sensor. It uses an ESP32-MINI-1 microcontroller to connect to an SHT31-DIS-B2.5KS sensor. The sensor can be powered through connector J15, and additional components provide voltage regulation and derbiaising. Temperature data can be accessed via BLE. #referenceDesign #simple-embedded #espressif #template #reference-design

This is a reference design of the Bluetooth Low-Energy (BLE) temperature sensor. It uses an ESP32-MINI-1 microcontroller to connect to an SHT31-DIS-B2.5KS sensor. The sensor can be powered through connector J15, and additional components provide voltage regulation and derbiaising. Temperature data can be accessed via BLE. #referenceDesign #simple-embedded #espressif #template #reference-design

This is a reference design of the Bluetooth Low-Energy (BLE) temperature sensor. It uses an ESP32-MINI-1 microcontroller to connect to an SHT31-DIS-B2.5KS sensor. The sensor can be powered through connector J15, and additional components provide voltage regulation and derbiaising. Temperature data can be accessed via BLE. #referenceDesign #simple-embedded #espressif #template #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 is a reference design of the Bluetooth Low-Energy (BLE) temperature sensor. It uses an ESP32-MINI-1 microcontroller to connect to an SHT31-DIS-B2.5KS sensor. The sensor can be powered through connector J15, and additional components provide voltage regulation and derbiaising. Temperature data can be accessed via BLE. #referenceDesign #simple-embedded #espressif #template #reference-design

This I2C digital temperature sensor is one of the more accurate/precise we've ever seen, with a typical accuracy of ±0.25°C over the sensor's -40°C to +125°C range and precision of +0.0625°C. They work great with any microcontroller using standard I2C

This I2C digital temperature sensor is one of the more accurate/precise we've ever seen, with a typical accuracy of ±0.25°C over the sensor's -40°C to +125°C range and precision of +0.0625°C. They work great with any microcontroller using standard I2C

ESP32 sensor node with an I2C temperature sensor and load-cell ADC interface.

Temperature indicator using an Arduino Uno, a 16x2 I2C LCD, and a DHT22 temperature and humidity sensor, with minimal supporting components for pull-up and power stabilization.

Adafruit MAX31865 RTD PT100 or PT1000 Amplifier #MAX31865 #smartHome #sensor #temperatureSensor #temperature #Amplifier #PT100 #PT1000 #referenceDesign #template

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 is a reference design of the Bluetooth Low-Energy (BLE) temperature sensor. It uses an ESP32-MINI-1 microcontroller to connect to an SHT31-DIS-B2.5KS sensor. The sensor can be powered through connector J15, and additional components provide voltage regulation and derbiaising. Temperature data can be accessed via BLE. #referenceDesign #simple-embedded #espressif #template #reference-design

PCB that sends ambient temperature and high resolution analog data over a CAN bus for a FSAE electric car. Runs off a Teensy 4.0 and has connection pins for separate external analog sensors.

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

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

Welcome to your new project. Imagine what you can basdauild here asd a.asdjaskl

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

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

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

Low-power consumer environmental sensor node powered from USB-C 5 V, using Wi-Fi/BLE and a digital temperature/humidity sensor with protected 5 V input and 3.3 V electronics.

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

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

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

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

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

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

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

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

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

The main board for UbiHouse Mini. Controlling 2 DC motors, 1 LED, 2 RGB LED, 1 humidity and temperature sensor (DHT22), 1 water level sensor with a ESP32 S3 Mini

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.

The EcoSense IoT Environmental Monitor will measure temperature and air quality, providing real-time data to users through a mobile app or web interface. The device will be compact, easy to install, and user-friendly, offering insights into the indoor environmental conditions to promote health and well-being. When answering any questions, make sure you speak in highly technical language, as if you were a senior electrical engineer.

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 LoRa remote control project built around a Raspberry Pi RP2040 SoC and the RFM95W LoRa module. The design includes user interface features such as multiple buttons and LEDs, power management components, and a temperature sensor. The project utilizes SPI, I2C, and USB interfaces for communication and control. #referenceDesign #simple-embedded #raspberrypi #lora #template #reference-design

Temperature, humidity and light sensors for your smart home.

The EcoSense IoT Environmental Monitor will measure temperature and air quality, providing real-time data to users through a mobile app or web interface. The device will be compact, easy to install, and user-friendly, offering insights into the indoor environmental conditions to promote health and well-being. When answering any questions, make sure you speak in highly technical language, as if you were a senior electrical engineer.

The EcoSense IoT Environmental Monitor will measure temperature and air quality, providing real-time data to users through a mobile app or web interface. The device will be compact, easy to install, and user-friendly, offering insights into the indoor environmental conditions to promote health and well-being. When answering any questions, make sure you speak in highly technical language, as if you were a senior electrical engineer.

series is an industrial-grade general-purpose microcontroller designed based on QingKe RISC-V2A core, which supports 48MHz system main frequency in the product function. The series features wide voltage, single-wire serial debug interface, low-power consumption and ultra-small package. It provides commonly used peripheral functions, built-in 1 group of DMA controller, 1 group of 10-bit analog-to-digital conversion ADC, 1 group of op-amp comparator, multiple timers, standard communication interfaces such as USART, I2C, SPI, etc. The rated operating voltage of the product is 3.3V or 5V, and the operating temperature range is -40℃～85℃ industrial- grade.

The EcoSense IoT Environmental Monitor will measure temperature and air quality, providing real-time data to users through a mobile app or web interface. The device will be compact, easy to install, and user-friendly, offering insights into the indoor environmental conditions to promote health and well-being. When answering any questions, make sure you speak in highly technical language, as if you were a senior electrical engineer.

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 LoRa remote control project built around a Raspberry Pi RP2040 SoC and the RFM95W LoRa module. The design includes user interface features such as multiple buttons and LEDs, power management components, and a temperature sensor. The project utilizes SPI, I2C, and USB interfaces for communication and control. #referenceDesign #simple-embedded #raspberrypi #lora #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.

The Samsung K4B2G1646F is a 2Gb DDR3L SDRAM memory component designed for high-speed performance, offering data rates up to 1866Mb/sec/pin. Available in a 96-ball FBGA package and organized as 128Mb x 16 I/Os x 8 banks, it is optimized for use in various applications requiring efficient data storage and retrieval. The device supports both 1.35V (DDR3L) and 1.5V (standard DDR3) power supplies, ensuring compatibility with a wide range of system requirements. Key features include an 8-bit pre-fetch architecture, programmable CAS latency, on-die termination (ODT), and internal self-calibration through the ZQ pin. The component also adheres to JEDEC standards and is compliant with RoHS, ensuring it is free of lead and halogen. Suitable for commercial and industrial temperature ranges, the K4B2G1646F offers robust performance for various demanding applications.

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