Programming Voice-controlled IoT Applications (PDF)
with Alexa and Raspberry Pi
(Sprache: Englisch)
The book is split into two parts: the first part covers creating Alexa skills and the second part, designing Internet of Things and Smart Home devices using a Raspberry Pi.
The first chapters describe the process of Alexa communication, opening an...
The first chapters describe the process of Alexa communication, opening an...
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The book is split into two parts: the first part covers creating Alexa skills and the second part, designing Internet of Things and Smart Home devices using a Raspberry Pi.
The first chapters describe the process of Alexa communication, opening an Amazon account and creating a skill for free. The operation of an Alexa skill and terminology such as utterances, intents, slots, and conversations are explained. Debugging your code, saving user data between sessions, S3 data storage and Dynamo DB database are discussed.
In-skill purchasing, enabling users to buy items for your skill as well as certification and publication is outlined. Creating skills using AWS Lambda and ASK CLI is covered, along with the Visual Studio code editor and local debugging. Also covered is the process of designing skills for visual displays and interactive touch designs using Alexa Presentation Language.
The second half of the book starts by creating a Raspberry Pi IoT "thing" to control a robot from your Alexa device. This covers security issues and methods of sending and receiving MQTT messages between an Alexa device and the Raspberry Pi.
Creating a smart home device is described including forming a security profile, linking with Amazon, and writing a Lambda function that gets triggered by an Alexa skill. Device discovery and on/off control is demonstrated.
Next, readers discover how to control a smart home Raspberry Pi display from an Alexa skill using Simple Queue Service (SQS) messaging to switch the display on and off or change the color.
A node-RED design is discussed from the basic user interface right up to configuring MQTT nodes. MQTT messages sent from a user are displayed on a Raspberry Pi.
A chapter discusses sending a proactive notification such as a weather alert from a Raspberry Pi to an Alexa device. The book concludes by explaining how to create Raspberry Pi as a stand-alone Alexa device.
The first chapters describe the process of Alexa communication, opening an Amazon account and creating a skill for free. The operation of an Alexa skill and terminology such as utterances, intents, slots, and conversations are explained. Debugging your code, saving user data between sessions, S3 data storage and Dynamo DB database are discussed.
In-skill purchasing, enabling users to buy items for your skill as well as certification and publication is outlined. Creating skills using AWS Lambda and ASK CLI is covered, along with the Visual Studio code editor and local debugging. Also covered is the process of designing skills for visual displays and interactive touch designs using Alexa Presentation Language.
The second half of the book starts by creating a Raspberry Pi IoT "thing" to control a robot from your Alexa device. This covers security issues and methods of sending and receiving MQTT messages between an Alexa device and the Raspberry Pi.
Creating a smart home device is described including forming a security profile, linking with Amazon, and writing a Lambda function that gets triggered by an Alexa skill. Device discovery and on/off control is demonstrated.
Next, readers discover how to control a smart home Raspberry Pi display from an Alexa skill using Simple Queue Service (SQS) messaging to switch the display on and off or change the color.
A node-RED design is discussed from the basic user interface right up to configuring MQTT nodes. MQTT messages sent from a user are displayed on a Raspberry Pi.
A chapter discusses sending a proactive notification such as a weather alert from a Raspberry Pi to an Alexa device. The book concludes by explaining how to create Raspberry Pi as a stand-alone Alexa device.
Autoren-Porträt von John Allwork
John Allwork graduated from Sheffield University where he developed an interest in computers and gained his MSc at UMIST. After two years working for ICL as a design engineer, he returned to UMIST where he graduated with a PhD in 'Design and Development of Microprocessor Systems'. He worked for several years in technical support and as manager in electronics distribution, working closely with Intel engineers and later designing Inmos Transputer systems.
Having taught electronics at Manchester Metropolitan University, he retired in 2011 but retained his interest in electronics and programming. His other occupations consist of traveling, walking, geocaching and spending time on his allotment.
Bibliographische Angaben
- Autor: John Allwork
- 2023, 273 Seiten, Englisch
- Verlag: Elektor International Media
- ISBN-10: 3895765325
- ISBN-13: 9783895765322
- Erscheinungsdatum: 26.01.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 25 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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