Home Automation With Raspberry Google Python
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Home Automation with Raspberry, Google & Python
Author: Gregorio Chenlo Romero
language: en
Publisher: Independently Published
Release Date: 2019-12-24
HOME AUTOMATION WITH RASPBERRY, GOOGLE & PYTHON: A fun & useful projectThis book is about the project, design, installation and maintenance of an advanced Home Automation system. A fun and useful project, with multiple sensors and actuators.Based on the Raspberry Pi, Google Home Artificial Intelligence and written in Python on Raspbian. With support for Colorama and Tkinter graphic environments. Additional KNX modules, WIFI switches, infrared converter, Tado° smart thermostat, touch screens, Router, Bridge, decoders, etc.Remote monitoring with VNC, access with NO-IP and Apache server. Multiple IFTTT routines for Google Home and applicable to Amazon Alexa. Bidirectional control, by voice, of sensors: humidity, temperature, thermostat with geolocation, heater, electric supply failure, garage door, air toxicity, doorbell, presence sensors, gas leaks, fire, smoke, flood, Internet connectivity, push buttons, etc. and actuators: lighting, window blinds, LED, acoustic and voice signals, barking guard dog simulation, relays, water and gas valves, electronic watchdog control, etc. All this controlled bidirectionally by voice too, with Google Home, personal messaging with Telegram, touch screen with Raspberry and PLEX server. Reporting with event viewers, email, voice with alarms, and Telegram BOT. Fully configurable, scalable with several proposals (from simple to complex) and basis for other projects in any type of housing.Oriented to Home Automation enthusiasts, College or University students, Engineering, Final & Master Degree projects, students and teachers with basic knowledge of Electricity, Electronics, Python and Raspberry.More information at: gregochenlo.blogspot.com
Home Automation with Raspberry Pi: Projects Using Google Home, Amazon Echo, and Other Intelligent Personal Assistants
Author: Donald Norris
language: en
Publisher: McGraw Hill Professional
Release Date: 2019-05-03
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Gain the skills needed to create a hi-tech home―affordably and easily This hands-on guide shows, step by step, how to use the powerful Raspberry Pi for home automation. Written in an easy-to-follow style, the book features DIY projects for Amazon Echo, Google Home, smart lightbulbs and thermostats, and more. Home Automation with Raspberry Pi: Projects Using Google Home, Amazon Echo, and Other Intelligent Personal Assistants lays out essential skills for hobbyists and makers of all ages and experience levels. You will discover how to build gadgets that can work in conjunction with―or in some cases replace―commercially available smart home products. Inside, you’ll learn how to: •Design and build custom home automation devices •Interface a Google Home device to your Raspberry Pi •Connect Google Voice Assistant to RasPi •Incorporate GPIO control using the Amazon Echo •Navigate home automation operating systems •Use Z-Wave in your RasPi HA projects •Apply fuzzy logic techniques to your projects •Work with sensors and develop home security systems •Utilize two open-source AI applications, Mycroft and Picroft •Tie your projects together to create an integrated home automation system
Embedded Systems and Robotics with Open Source Tools
Embedded Systems and Robotics with Open-Source Tools provides easy-to-understand and easy-to-implement guidance for rapid prototype development. Designed for readers unfamiliar with advanced computing technologies, this highly accessible book: Describes several cutting-edge open-source software and hardware technologies Examines a number of embedded computer systems and their practical applications Includes detailed projects for applying rapid prototype development skills in real time Embedded Systems and Robotics with Open-Source Tools effectively demonstrates that, with the help of high-performance microprocessors, microcontrollers, and highly optimized algorithms, one can develop smarter embedded devices.