Artículos relacionados a Real-Time IoT Imaging with Deep Neural Networks: Using...
Sinopsis
This book shows you how to build real-time image processing systems all the way through to house automation. Find out how you can develop a system based on small 32-bit ARM processors that gives you complete control through voice commands.
Real-time image processing systems are utilized in a wide variety of applications, such as in traffic monitoring systems, medical image processing, and biometric security systems. In Real-Time IoT Imaging with Deep Neural Networks, you will learn how to make use of the best DNN models to detect object in images using Java and a wrapper for OpenCV. Take a closer look at how Java scripting works on the Raspberry Pi while preparing your Visual Studio code for remote programming. You will also gain insights on image and video scripting. Author Nicolas Modrzyk shows you how to use the Rhasspy voice platform to add a powerful voice assistant and completely run and control your Raspberry Pi from your computer.
To get your voice intents for house automation ready, you will explore how Java connects to the MQTT and handles parametrized Rhasspy voice commands. With your voice-controlled system ready for operation, you will be able to perform simple tasks such as detecting cats, people, and coffee pots in your selected environment. Privacy and freedom are essential, so priority is given to using open source software and an on-device voice environment where you have full control of your data and video streams. Your voice commands are your own-and just your own.
With recent advancements in the Internet of Things and machine learning, cutting edge image processing systems provide complete process automation. This practical book teaches you to build such a system, giving you complete control with minimal effort.
What You Will Learn:
- Show mastery by creating OpenCV filters
- Execute a YOLO DNN model for image detection
- Apply the best Java scripting on Raspberry Pi 4
- Prepare your setup for real-time remote programming
- Use the Rhasspy voice platform for handling voice commands and enhancing your house automation setup
Who This Book Is For:
Engineers, and Hobbyists wanting to use their favorite JVM to run Object Detection and Networks on a Raspberry Pi
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Nicolas Modrzyk has over 15 years of IT experience in Asia, Europe, and the United States. He is currently the CTO of an international consulting company in Tokyo, Japan. An author of four other published books, he mostly focuses on the Clojure language and expressive code. When not bringing new ideas to customers, he spends time with his two fantastic daughters Mei and Manon, and playing live music internationally.
De la contraportada
This book shows you how to build real-time image processing systems all the way through to house automation. Find out how you can develop a system based on small 32-bit ARM processors that gives you complete control through voice commands.
Real-time image processing systems are utilized in a wide variety of applications, such as in traffic monitoring systems, medical image processing, and biometric security systems. In Real-Time IoT Imaging with Deep Neural Networks, you will learn how to make use of the best DNN models to detect object in images using Java and a wrapper for OpenCV. Take a closer look at how Java scripting works on the Raspberry Pi while preparing your Visual Studio code for remote programming. You will also gain insights on image and video scripting. Author Nicolas Modrzyk shows you how to use the Rhasspy voice platform to add a powerful voice assistant and completely run and control your Raspberry Pi from your computer.
To get your voice intents for house automation ready, you will explore how Java connects to the MQTT and handles parametrized Rhasspy voice commands. With your voice-controlled system ready for operation, you will be able to perform simple tasks such as detecting cats, people, and coffee pots in your selected environment. Privacy and freedom are essential, so priority is given to using open source software and an on-device voice environment where you have full control of your data and video streams. Your voice commands are your own and just your own.
With recent advancements in the Internet of Things and machine learning, cutting edge image processing systems provide complete process automation. This practical book teaches you to build such a system, giving you complete control with minimal effort.
You Will:
- Show mastery by creating OpenCV filters
- Execute a YOLO DNN model for image detection
- Apply the best Java scripting on Raspberry Pi 4
- Prepare your setup for real-time remote programming
- Use the Rhasspy voice platform for handling voice commands and enhancing your house automation setup
"Sobre este título" puede pertenecer a otra edición de este libro.
Comprar nuevo
Ver este artículo
EUR 22,65
EUR 3,42 gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envíoOtras ediciones populares con el mismo título
Resultados de la búsqueda para Real-Time IoT Imaging with Deep Neural Networks: Using...
Imagen de archivo
Real-Time IoT Imaging with Deep Neural Networks: Using Java on the Raspberry Pi 4
Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! Nº de ref. del artículo: OTF-S-9781484257210
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Real-Time Iot Imaging With Deep Neural Networks : Using Java on the Raspberry Pi 4
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 41122983-n
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Real-Time IoT Imaging with Deep Neural Networks: Using Java on the Raspberry Pi 4
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar2716030152360
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Real Time IoT Imaging for Deep Neural Networks : With Java, Clojure, and Raspberry Pi 4
Publicado por
Apress L. P., 2020
ISBN 10: 1484257219
ISBN 13: 9781484257210
Antiguo o usado
Tapa blanda
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Nº de ref. del artículo: 53380296-6
Cantidad disponible: 1 disponibles
Imagen del vendedor
Real-Time Iot Imaging With Deep Neural Networks : Using Java on the Raspberry Pi 4
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 41122983
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Real-Time IoT Imaging with Deep Neural Networks (Paperback)
Publicado por
APress, Berkley, 2020
ISBN 10: 1484257219
ISBN 13: 9781484257210
Nuevo
Paperback
Original o primera edición
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. This book shows you how to build real-time image processing systems all the way through to house automation. Find out how you can develop a system based on small 32-bit ARM processors that gives you complete control through voice commands.Real-time image processing systems are utilized in a wide variety of applications, such as in traffic monitoring systems, medical image processing, and biometric security systems. In Real-Time IoT Imaging with Deep Neural Networks, you will learn how to make use of the best DNN models to detect object in images using Java and a wrapper for OpenCV. Take a closer look at how Java scripting works on the Raspberry Pi while preparing your Visual Studio code for remote programming. You will also gain insights on image and video scripting. Author Nicolas Modrzyk shows you how to use the Rhasspy voice platform to add a powerful voice assistant and completely run and control your Raspberry Pi from your computer. To get your voice intents for house automation ready, you will explore how Java connects to the MQTT and handles parametrized Rhasspy voice commands. With your voice-controlled system ready for operation, you will be able to perform simple tasks such as detecting cats, people, and coffee pots in your selected environment. Privacy and freedom are essential, so priority is given to using open source software and an on-device voice environment where you have full control of your data and video streams. Your voice commands are your ownand just your own.With recent advancements in the Internet of Things and machine learning, cutting edge image processing systems provide complete process automation. This practical book teaches you to build such a system, giving you complete control with minimal effort.What You Will Learn:Show mastery by creating OpenCV filtersExecute a YOLO DNN model for image detectionApply the best Java scriptingon Raspberry Pi 4Prepare your setup for real-time remote programmingUse the Rhasspy voice platform for handling voice commands and enhancing your house automation setupWho This Book Is For:Engineers, and Hobbyists wanting to use their favorite JVM to run Object Detection and Networks on a Raspberry Pi Intermediate user level Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781484257210
Cantidad disponible: 1 disponibles
Imagen del vendedor
Real-Time IoT Imaging with Deep Neural Networks
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. This book shows you how to build real-time image processing systems all the way through to house automation. Find out how you can develop a system based on small 32-bit ARM processors that gives you complete control through voice commands.Real-time image processing systems are utilized in a wide variety of applications, such as in traffic monitoring systems, medical image processing, and biometric security systems. In Real-Time IoT Imaging with Deep Neural Networks, you will learn how to make use of the best DNN models to detect object in images using Java and a wrapper for OpenCV. Take a closer look at how Java scripting works on the Raspberry Pi while preparing your Visual Studio code for remote programming. You will also gain insights on image and video scripting. Author Nicolas Modrzyk shows you how to use the Rhasspy voice platform to add a powerful voice assistant and completely run and control your Raspberry Pi from your computer. To get your voice intents for house automation ready, you will explore how Java connects to the MQTT and handles parametrized Rhasspy voice commands. With your voice-controlled system ready for operation, you will be able to perform simple tasks such as detecting cats, people, and coffee pots in your selected environment. Privacy and freedom are essential, so priority is given to using open source software and an on-device voice environment where you have full control of your data and video streams. Your voice commands are your own-and just your own.With recent advancements in the Internet of Things and machine learning, cutting edge image processing systems provide complete process automation. This practical book teaches you to build such a system, giving you complete control with minimal effort.What You Will Learn:Show mastery by creating OpenCV filtersExecute a YOLO DNN model for image detectionApply the best Java scriptingon Raspberry Pi 4Prepare your setup for real-time remote programmingUse the Rhasspy voice platform for handling voice commands and enhancing your house automation setupWho This Book Is For:Engineers, and Hobbyists wanting to use their favorite JVM to run Object Detection and Networks on a Raspberry Pi. Nº de ref. del artículo: LU-9781484257210
Cantidad disponible: 8 disponibles
Imagen del vendedor
Real-Time IoT Imaging with Deep Neural Networks
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. This book shows you how to build real-time image processing systems all the way through to house automation. Find out how you can develop a system based on small 32-bit ARM processors that gives you complete control through voice commands.Real-time image processing systems are utilized in a wide variety of applications, such as in traffic monitoring systems, medical image processing, and biometric security systems. In Real-Time IoT Imaging with Deep Neural Networks, you will learn how to make use of the best DNN models to detect object in images using Java and a wrapper for OpenCV. Take a closer look at how Java scripting works on the Raspberry Pi while preparing your Visual Studio code for remote programming. You will also gain insights on image and video scripting. Author Nicolas Modrzyk shows you how to use the Rhasspy voice platform to add a powerful voice assistant and completely run and control your Raspberry Pi from your computer. To get your voice intents for house automation ready, you will explore how Java connects to the MQTT and handles parametrized Rhasspy voice commands. With your voice-controlled system ready for operation, you will be able to perform simple tasks such as detecting cats, people, and coffee pots in your selected environment. Privacy and freedom are essential, so priority is given to using open source software and an on-device voice environment where you have full control of your data and video streams. Your voice commands are your own-and just your own.With recent advancements in the Internet of Things and machine learning, cutting edge image processing systems provide complete process automation. This practical book teaches you to build such a system, giving you complete control with minimal effort.What You Will Learn:Show mastery by creating OpenCV filtersExecute a YOLO DNN model for image detectionApply the best Java scriptingon Raspberry Pi 4Prepare your setup for real-time remote programmingUse the Rhasspy voice platform for handling voice commands and enhancing your house automation setupWho This Book Is For:Engineers, and Hobbyists wanting to use their favorite JVM to run Object Detection and Networks on a Raspberry Pi. Nº de ref. del artículo: LU-9781484257210
Gastos de envío:
GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 8 disponibles
Imagen de archivo
Real-time Iot Imaging With Deep Neural Networks: Using Java on the Raspberry Pi 4
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 224 pages. 9.00x6.00x0.50 inches. In Stock. Nº de ref. del artículo: x-1484257219
Gastos de envío:
EUR 11,52
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 2 disponibles
Imagen del vendedor
Real-Time Iot Imaging With Deep Neural Networks : Using Java on the Raspberry Pi 4
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 41122983
Gastos de envío:
EUR 17,28
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: Más de 20 disponibles