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        "author": "Johann Hofstaetter",
        "author_email": "hanshof@mailbox.org",
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        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Topic :: Scientific/Engineering :: Interface Engine/Protocol Translator"
        ],
        "description": "# Raspberry Pi Sensors\n\nThis is a Python 3 package that enables Raspberry Pi to read various sensors .It has been tested on Python 3.5/Raspbian (stretch).\nSupported devices include:\n\n* HCSR04 ultrasonic sensor\n* PCA9685 Adafruit 16-channel 12 Bit PWM Driver\n* BMP280 Barometer\n* Triple Axis Magnetometer QMC5883L \n* AS3935 lightning sensor MOD-1016 embedded adventures\n\n\n### REQUIREMENTS\n\n\n1. adafruit-circuitpython-servokit\n\n### Installation\n\n1. From source  (incl. examples, fritzing and ebooks)\n   \n ```sh\n\n       git clone https://github.com/hanshof/rpiSensors.git\n       cd rpiSensors\n       python install setup.py\n ```\n       \n2. PIP\n\n ```sh\n\n     pip install raspiSensors\n     \n ```\n\n\n\n\n\n\n### HCSR04 ultrasonic sensor\n\n\n\n> This is the HC-SR04 ultrasonic distance sensor. \n> This economical sensor provides 2cm to 400cm \n> of non-contact measurement functionality with a ranging accuracy \n> that can reach up to 3mm. \n> Each HC-SR04 module includes an ultrasonic transmitter\n>, a receiver and a control circuit.\n\n> There are only four pins that you need to worry about on the HC-SR04: \n> VCC (Power), Trig (Trigger), Echo (Receive), and GND (Ground). \n> You will find this sensor very easy to set up and use for your next range-finding project!\n\nExample:\n\n  ```python\n\n    from raspiSensors import hcsr04 as HCSR04\n    ultrasonic = HCSR04(trigger_pin = 21, echo_pin = 20)\n    print(ultrasonic.distance())\n\n    returns distance in cm\n    \n  ```\n    \n### PCA9685 Adafruit 16-channel 12 Bit PWM Driver\n\n\n> Using only two pins, control 16 free-running PWM outputs! \n> You can even chain up 62 breakouts to control up to 992 PWM outputs (which we would really like to see since it would be glorious)\n> It's an i2c-controlled PWM driver with a built in clock. That means that, unlike the TLC5940 family, you do not need to continuously send it signal tying up your microcontroller, its completely free running!\n> It is 5V compliant, which means you can control it from a 3.3V microcontroller and still safely drive up to 6V outputs (this is good for when you want to control white or blue LEDs with 3.4+ forward voltages)\n> 6 address select pins so you can wire up to 62 of these on a single i2c bus, a total of 992 outputs - that's a lot of servos or LEDs\n> Adjustable frequency PWM up to about 1.6 KHz\n> 12-bit resolution for each output - for servos, that means about 4us resolution at 60Hz update rate\n> Configurable push-pull or open-drain output\n> Output enable pin to quickly disable all the outputs\n\nExample:\n\n  ```python\n  \n      from raspiSensors import pca9685 as PCA9685\n      servos = PCA9685(channels=16)\n      \n      servos.kit.servo[0].angle = 90\n  ```\n      \n      \n      \n### BMP280 Barometer\n\n  \n> This is a Barometer Pressure Sensor module\n> It could measure the pressure and temperature.\n> This program depend on BMP280.py writted by Adafruit. \n\n* #### [Example](https://github.com/hanshof/raspiSensors/blob/master/raspiSensors/examples/bmp280_test.py)\n* #### [Datasheet](https://github.com/hanshof/raspiSensors/blob/master/raspiSensors/datasheet/BST-BMP280-DS001-11.pdf)\n* #### [Ebook](https://github.com/hanshof/raspiSensors/blob/master/raspiSensors/ebooks/BMP280.pdf)  \n* #### [Fritzing](https://github.com/hanshof/raspiSensors/blob/master/raspiSensors/fritzing/Barometer_BMP280_Steckplatine.png)\n\n\n### Triple Axis Magnetometer QMC5883L \n\n\n> Magnetometer QMC5883L is used for measuring the direction and magnitude of the Earth\u2019s magnetic field. It is used for low cost compassing and magnetometry.\n> It measures the Earth\u2019s magnetic field value along the X, Y and Z axes from milli-gauss to 8 gauss.\n> It can be used to find the direction of heading of the device.\n> It uses I2C protocol for communication with microcontroller.\n\n* #### [Example](https://github.com/hanshof/raspiSensors/blob/master/raspiSensors/examples/qmc5883l_test.py)\n\n\n### AS3935 lightning sensor MOD-1016 embedded adventures\n\n> The MOD1016 is a lightning sensor based on the AMS3935. It allows you to detect \n> storms up to 40km away.\n\n* #### [Example](https://github.com/hanshof/raspiSensors/blob/master/raspiSensors/examples/as3935_test.py)\n* #### [Datasheet MOD-1016](https://github.com/hanshof/raspiSensors/blob/master/raspiSensors/datasheet/MOD-1016_hw_v8_doc_v4.pdf)\n* #### [Datasheet AS3935](https://github.com/hanshof/raspiSensors/blob/master/raspiSensors/datasheet/AS3935_datasheet.pdf)\n* #### [Ebook](https://github.com/hanshof/raspiSensors/blob/master/raspiSensors/ebooks/MOD1016.pdf)\n* #### [Fritzing](https://github.com/hanshof/raspiSensors/blob/master/raspiSensors/fritzing/MOD1016-AS3935.png)",
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        "keywords": "Raspberry PI,Sensor,Robots",
        "license": "MIT",
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