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The BMP180 is a new generation digital barometric pressure and temperature sensor from Bosch Sensortec. In this tutorial, we will briefly review this device and describe how to interface it with an Arduino Uno board for measuring the surrounding temperature and pressure. We will also discuss about retrieving the sensor altitude from its pressure readings.
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We know that the newer Arduino Uno boards have two programmable microcontrollers: one is Atmega328, which is an actual Arduino processor, and the second one is Atmega16U2, which is flashed to operate as an USB-Serial converter. Nico’s HootLoader2 allows you to reprogram the Atmega16U2 with your custom sketches to add more functionalities. HoodLoader2 replaces the DFU bootloader with a CDC bootloader and comes with full Arduino compatible USB-HID core, and CDC Serial. You can also use the 7 i/o pins of the Atmega16u2 on board.
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Organic light-emitting diode (OLED) displays are the coolest displays ever made. Check out this instructable on building an Arduino controlled OLED clock that uses a DS3231 RTC module for precise time-keeping. The DS3231 is a low-cost, extremely accurate I2C realtime clock (RTC) with an integrated temperature compensated crystal oscillator (TCXO) and crystal. The project incorporates a rechargeable battery to maintain accurate timekeeping during power failure. The implementation of an interactive menu system, which is navigated through two tact switches, the time setting becomes handy. The DS3231 module uses the built-in temperature sensor to compensate for clock drift due to temperature variation, which helps to keep the
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Conversation analysis (CA) is a disciplined approach of studying natural conversations to understand how participants interact and respond in their turns at talk. The input data for CA is derived from audio or video recording of naturally occurring talk. Turn-taking is considered to be the basic unit of speech in CA. Rachel Yalisove has posted a new instructable about her turn-taking logger, an Arduino-controlled device to monitor and record turn-takings in a 2-person conversation. The project uses two electret microphone modules with on-board amplifiers to sense the audio levels of the two persons participating in the conversation. The two microphone outputs are continuously monitored
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XenonJohn’s has made this two-wheeled self-balancing scooter, which is Arduino-controlled and uses the ADXL345 accelerometer and the ITG-3200 MEMS gyro together to form an Inertial Measurement Unit (IMU). The Arduino MEGA board analyses the outputs from the IMU and signals the Sabertooth dual 25A motor driver (which in turn drives two 24V brushed gear motors) to maintain the balance while you are riding. A 4×20 character LCD provides you status updates during the ride. The motors are powered with a 24V battery, while the control circuit including the Arduino receives the power from six AA batteries.
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