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

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.

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

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