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Rapid Android Development Build Rich Sensor Based Applications With Processing



Create mobile apps for Android phones and tablets faster and more easily than you ever imagined. Use "Processing," the free, award-winning, graphics-savvy language and development environment, to work with the touchscreens, hardware sensors, cameras, network transceivers, and other devices and software in the latest Android phones and tablets. Whether you're a student, teacher, hobbyist, or experienced developer, Rapid Android Development puts the fast-growing market for Android phone and tablet applications within your reach. Without needing to master the complexities of Java, Eclipse, or the Android SDK, you'll find yourself writing dazzling graphics displays and location-aware programs in no time. With more than 30 ready-to-run demos, applications, and games, you'll find yourself diving deeper than you thought possible into the treasure trove of software and hardware packed into today's Android devices. You'll learn how to: Access the Android touch screen, keyboard, and gestures to create eye-popping user experiences. Tap into Android's on-board sensors for orientation, location, motion, geolocation, and more to build environment-aware applications. Use Android's built-in networking devices to access the Internet, network with nearby Android devices, and interact with NFC-formatted RFID tags. Create OpenGL accelerated 2D and 3D graphics. Integrate camera images, video, and face-detection into your mobile apps. Take selected apps cross-platform with new Processing support for HTML 5 and JavaScript. And once the prototyping is done, you can easily move your work to Eclipse for debugging and deployment. What You Need: Users will need to install Version 2.0 of the Processing open source language and environment, a free download at processing.org. Readers also need to install the free Android SDK (Ice Cream Sandwich 4.0 or higher) and the Ketai library for Processing. An Android phone or tablet is required to test most of the examples in the book.


Why now? An array of innovations across the technology landscape have converged to make smart, connected products technically and economically feasible. These include breakthroughs in the performance, miniaturization, and energy efficiency of sensors and batteries; highly compact, low-cost computer processing power and data storage, which make it feasible to put computers inside products; cheap connectivity ports and ubiquitous, low-cost wireless connectivity; tools that enable rapid software development; big data analytics; and a new IPv6 internet registration system opening up 340 trillion trillion trillion potential new internet addresses for individual devices, with protocols that support greater security, simplify handoffs as devices move across networks, and allow devices to request addresses autonomously without the need for IT support.




Rapid Android Development Build Rich Sensor Based Applications with Processing




App Engine: App Engine enables you to build and host applications on the same systems that power Google applications. App Engine offers fast development and deployment; simple administration, with no need to worry about hardware, patches or backups; and effortless scalability.


Vertex AI Vision: Vertex AI Vision is a service that allows you to easily build, deploy, and manage computer vision applications with a fully managed, end-to-end application development environment.


Vertex AI: Vertex AI is a service for managing the entire lifecycle of AI and machine learning development. With Vertex AI, you can (i) manage image, video, text, and tabular datasets and associated labels; (ii) build machine learning pipelines to train and evaluate models using Google Cloud algorithms or custom training code; (iii) deploy models for online or batch use cases all on scalable managed infrastructure (including additional discovery points and API endpoints for functionality replacing the legacy services of AI Platform Data Labeling, AI Platform Training and Prediction, AI Platform Neutral Architecture Search (NAS), AutoML Natural Language, AutoML Video, AutoML Vision, and AutoML Tables); (iv) manage your entire data science workflow using Vertex AI Workbench (also known as Notebooks), which offers Google and user-managed options for a notebook-based development environment, including JupyterLab instances; and (v) create realistic plans to optimize your business with Optimization AI and related functionality.


Of late, there are rapid technological advancements that would require continuous upgradation of the HIoT-based devices from time to time. Every IoT-based system involves a large number of connected medical devices and sensors. This involves high maintenance, servicing, and upgradation costs that may impact the financials of not only the company but also the end-users. Hence, the inclusion of sensors that can be operated with a lower maintenance cost is required.


The development of an HIoT system requires the integration of various biomedical sensors with semiconductor-rich devices. The manufacturing and fabrication mostly require the use of earth metal and other toxic chemicals. This may create an adverse effect on the environment. Hence, a proper regulatory body must be created to control and regulate the manufacturing of the sensors. Further, more research must be devoted to making sensors using biodegradable materials.


The component-based architecture allows for building UIs with many moving parts and, at the same time, streamlines the development course for engineers. Other main benefits of such a design are as follows.


REST APIs: These are widely used to integrate different applications. You could use REST with Arduino to build APIs that get information from sensors and send commands to actuators. To learn about REST APIs, check out Python REST APIs With Flask, Connexion, and SQLAlchemy.


MaxST is a comprehensive platform that ensures speedy and easy AR app development process. It comes with two SDKs, 2D SDK for image recognition and 3D SDK for environment recognition Its multiple features and environments enable developers to build AR applications quickly and easily.


The MixedReality Toolkit is utilized to quicken the development of process augmented reality applications build for Microsoft HoloLens and other Windows-based Mixed Reality headsets. Some of its supported devices include,


DroidAR is an opensource framework to create AR applications only for Android. You can build a location-based Augmented reality as well as a marker-based augmented reality applications with the help of Droid AR. One can develop and test the applications of the desktop which helps in quickening the development cycle. The features include:


Unity 3D is a VR development tool created for professionals as well as beginners. However, beginners can get started easily and efficiently by creating the best quality Virtual Reality applications and games since it offers a huge asset store to find 2D, 3D, SDKs, and templates to directly import in the development environment. Developers can find the characters from the Unity asset to save time and efforts of developing games from scratch. Unity has a large community where developers help one another with their problems and queries, which enables them to increase the quality of the games along with quickening the game development process. To increase efficiency, one can look at best practices, training sessions as well as tutorials to build virtual reality games efficiently.


Tilt Brush is another efficient tool of Google that is often used to build VR applications to paint in 3D space with virtual reality. It allows developers to draw animated characters, build houses, and design interiors in real-time. Looking at the potential of Tilt Brush, it is believed to be expanding the scope of VR based applications. It is known for its user-friendly and intuitive interface and poly integration. It is supported on Windows 7 SP1, Windows 8.1 or later, Windows 10.


Start with the modules foundational to your business and build from there. Companies often begin with a finance module to automate basic accounting tasks and allow leaders to easily view available cash and the flow of money into and out of the organization. Products-based companies typically want to digitize inventory and order management right away because that can generate rapid and significant savings around procurement, storage and shipping. An ecommerce application that plugs into the ERP is a priority for sellers that rely on this sales channel. Services organizations, on the other hand, may start with a PSA (professional services automation) application to simplify employee time and resource tracking and project billing.


The Oracle Java Micro Edition (ME) Embedded Client is an application runtime that builds on the popular Java ME specification and has been designed for resource-constrained devices like e-book readers, Blu-ray Disc players, Voice Over IP telephones, televisions, set-top boxes, printers, residential gateways and more. Java ME is the best technology for resource constrained embedded devices and has seen widespread deployment across mobile handsets and digital television devices. Java ME provides device manufacturers with the full power of the Java language, a comprehensive set of APIs, industry-leading security and access to more developers than any other platform. Through its compatibility with the Java Platform Standard Edition (Java SE), the Oracle Java Micro Edition Embedded Client inherits familiar Java features and benefits from a rich development ecosystem that enables Java developers to hit the ground running. An extensive range of tools, such as the NetBeans IDE, provides sophisticated power for creating and debugging applications. At the same time, the Oracle Java Micro Edition Embedded Client capitalizes on its Java ME heritage by being specially designed for speed and efficiency on devices with limited processing power and memory. 2ff7e9595c


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