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Perfect for Multi-Project Use, this powerful sensor module kit is 100% Compatible with Arduino IDE and STM32, making it a great choice for electronics projects. Note: This kit doesn't come with microcontroller board.
Our kit includes high-demand modules like the GY-521 accelerometer, LCD1602 screen, DS1307 real-time clock, etc.
Enjoy Easy Assembly with our upgraded tutorial, designed specifically for UNO R3, UNO, MEGA2560 R3, NANO.
GPIO Expansion Board: Simplifies prototyping by providing easy access to GPIO pins for connecting sensors, actuators, and peripherals.
Built-In WiFi & Bluetooth: Seamlessly integrate 2.4GHz WiFi and Bluetooth for wireless communication, perfect for building connected smart devices.
Versatile 30-Pin ESP32 Development Boards: Includes three powerful ESP32 boards, each with 8MB Flash memory, ideal for a wide range of IoT, robotics, and home automation projects.
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Wide Voltage Support – Operates on DC 3.3V to 6V, making it compatible with both 5V Arduino boards and 3.3V ESP32/Raspberry Pi systems.
Mixed Package for Flexibility – Includes 4× DHT22 & 4× DHT11, allowing you to choose between high-accuracy (DHT22) or cost-effective (DHT11) options for different applications.
High-Precision Environmental Monitoring – DHT22 provides superior accuracy (±0.5°C temperature, ±2% RH humidity), making it ideal for critical projects like smart agriculture, HVAC systems, and lab monitoring.
【Easy Integration】 Compatible with Arduino, Raspberry Pi, and other microcontrollers, making it perfect for robotics, automation, and distance-monitoring projects.
【Accurate Distance Measurement】 Measures distances from 2 cm to 400 cm with an accuracy of ±3 mm, ideal for precision-dependent applications.
Complete Pack of 5 Sensors Includes： 5 x Lonely Binary 5V HC-SR04 ultrasonic sensors for immediate use. 3 x Stand and screw 1 x Cables
The HMMD-mmWave-Sensor is a human micro-motion sensor, adopts Frequency Modulated Continuous Wave (FMCW) technology to detect and identify moving, standing, and motionless human body.
Combining radar signal processing with accurate human detection and ranging algorithms, supports configuring the sensibility for each range independently to improve anti-interference performance.
Based on AIoT mmWave Sensor SoC S3KM1110, onboard high performance 24GHz 1T1R antennas. Onboard MCU and built-in human micro-motion sensing algorithm for accurate detecting of moving, micro-motion, and standing human.
※Widely used: Sweepers, DIY robot cars, for raspberry pi project,It can be building a little robot to measure distances in a room under construction
※HC-SR04 Ultrasonic Sensor Module: It measures distance by sending out a sound wave at a specific frequency and receiving back that sound wave to bounce
※Good Accuracy: Power Supply :3V-5.5V DC, Detection angle: <15 °, Minimum target distance is 2.0cm from the end of the Voltage transducers. Maximum repeatable target distance is 2CM-150CM for a large unobstructed stationary target
[Wireless Connectivity]: With built-in WiFi and Bluetooth capabilities, the ESP32 dual cores microcontroller allows seamless and reliable wireless communication, making it ideal for IoT projects and smart device control.
[Multiple Functions]: The ESP-WROOM-32 development board integrates a variety of peripherals, including capacitive touch sensors, Hall sensors, low noise amplifiers, SD card interface, Ethernet interface, and high-speed SDIO/SPI, UART, I2S, I2C, etc.
[High Performance]: The ESP32 HAT features a powerful dual-core CPU, enabling it to deliver exceptional performance for wireless WiFi and Bluetooth connectivity applications.
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