BMP180 GY-68 3.3V/5V Barometric Pressure & Temperature Sensor Module I2C BMP085 Replacement

The BMP180 GY-68 Barometric Pressure and Temperature Sensor Module is a high-performance, compact sensor board designed for precise atmospheric pressure measurement, altitude calculation, and temperature monitoring. Built around the Bosch BMP180 digital sensor and offered as a BMP085 replacement, this module delivers exceptional accuracy and efficiency for both embedded electronics projects and industrial applications.With its support for I2C (IIC) communication protocol, the BMP180 GY-68 ensures seamless integration with Arduino, Raspberry Pi, ESP32, STM32, and other microcontrollers. It operates at 3.3V or 5V, making it versatile and compatible across a wide range of systems without additional converters. Whether you are building a DIY weather station, GPS altitude correction system, or IoT device, this sensor module provides reliable data for your projects.Key Features High Precision Pressure Sensor: Measures barometric pressure with a resolution of 0.01 hPa, enabling accurate altitude and weather forecasting. Integrated Temperature Sensor: Provides temperature readings with excellent stability and low noise. Wide Voltage Compatibility: Operates on 3.3V to 5V, suitable for most microcontroller platforms. I2C Communication: Simple two-wire interface for easy connection with Arduino, Raspberry Pi, and other development boards. BMP085 Replacement: 100% compatible with BMP085 libraries and code, offering a drop-in upgrade with better performance. Compact Module: Small PCB design with header pins for breadboard-friendly prototyping. Low Power Consumption: Ideal for battery-powered and portable projects. Fast Response Time: Quick data sampling for real-time pressure and temperature monitoring. Versatile Applications: Perfect for altitude measurement, weather monitoring, drone flight stabilization, and IoT systems. Proven Reliability: Based on Bosch’s industry-leading sensor technology. Technical Specifications Model: BMP180 GY-68 Chipset: Bosch BMP180 (Digital barometric pressure & temperature sensor) Operating Voltage: 3.3V – 5V Pressure Measurement Range: 300 hPa – 1100 hPa (equivalent to altitude from -500m to 9000m) Pressure Resolution: 0.01 hPa (0.1 m) Pressure Accuracy: ±0.12 hPa (±1 m) at sea level Temperature Measurement Range: -40°C to 85°C Temperature Accuracy: ±2.0°C Communication Interface: I2C (IIC), up to 3.4 MHz Output Data: Calibrated digital pressure and temperature values Compatibility: Arduino, Raspberry Pi, ESP8266, ESP32, STM32, PIC, AVR, ARM, and more Power Consumption: Ultra-low, suitable for mobile and IoT applications PCB Dimensions: Approx. 13mm × 12mm × 3mm Weight: Lightweight, ideal for embedded projects ApplicationsThe BMP180 GY-68 Sensor Module is widely used in DIY, academic, and professional projects, thanks to its accuracy and reliability. Typical applications include: Weather Stations – Measure local atmospheric pressure and temperature to predict short-term weather changes. Altitude Measurement – Determine elevation for outdoor navigation, hiking devices, and GPS correction. Drones & UAVs – Stabilize flight and improve navigation with altitude feedback. IoT Projects – Integrate into smart devices for environmental monitoring and automation. Mobile Devices – Enhance GPS performance with pressure-based altitude data. Industrial Systems – Used in process monitoring, pressure sensing, and environmental data logging. Educational Projects – Ideal for electronics learning kits, science experiments, and prototyping. The BMP180 GY-68 module stands out for its accuracy, low power consumption, and ease of use. As a drop-in replacement for the BMP085, it is widely supported by existing Arduino libraries, tutorials, and code examples, making it perfect for beginners and professionals alike. Its compact size and wide voltage compatibility make integration into embedded systems seamless. By incorporating this module into your project, you gain access to reliable barometric pressure and temperature readings, which can be used to improve navigation, weather forecasting, and environmental monitoring systems. Download