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203 result(s) for "Home automation Computer programs."
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Learn Apple HomeKit on iOS : a home automation guide for developers, designers, and homeowners
This book is the complete guide to Apple's home automation technology, HomeKit. You'll learn the HomeKit platform structure and how it supports devices--existing and planned--and you'll get a thorough grounding on new and useful apps that deliver a new generation of home automation in a secure and innovative environment. Learn Apple HomeKit on the Mac and iOS shows you how to move to secure, home automation projects that integrate with your digital world automatically--after you set them up as described in the book. Having your calendar and appointments control your lights, locks, thermostat, and other home devices is the heart of home automation. In homes and small offices, you can banish notes taped to switches and controls that say, \"Do not turn off this switch\" or \"Leave the thermostat alone.\" The book gets you up to speed on HomeKit, and it also answers some of the pesky questions, such as \"What happens when the power goes out?\" Along the way there are tips and suggestions for app developers, hardware manufacturers, interior designers, and real estate professionals. For programmers, there's an entire chapter (plus sections in other chapters) dedicated to the core coding issues. For non-programmers, this book is the perfect resource mastering the amazing potential of Apple HomeKit. With a knowledge of the framework, you can start from HomeKit and let your imagination run wild as you design compatible devices with unlimited capabilities. Go build your killer app, your game-changing product, or service!
IoT based applications for healthcare and home automation
The Internet of Things (IoT) is a paradigm that involves connecting the virtual world of the Internet to the real world through so-called smart objects. Indeed, Internet of Things (IoT) devices are extensively employed in a wide range of applications, including healthcare field and home automation. These objects are equipped with communication capabilities and can exchange data over the Internet. In recent times, the healthcare sector has witnessed a surge of growth and transformation. The integration of IoT-enabled devices has revolutionized remote monitoring in healthcare, empowering healthcare providers to keep their patients safe and healthy while delivering exceptional care. On the other hand, the home automation system is becoming increasingly popular due to its many benefits, which involve remotely monitoring and controlling household appliances. In fact, the main challenges faced by home automation systems are poor manageability, rigidity, difficulty in achieving security, and high ownership costs. As the internet and its applications continue to grow, there is enormous potential for remotely accessing, controlling and monitoring network-enabled devices. With this context in mind, the objective of this project is to develop two IoT-based models. These models are based on Arduino and Raspberry pi boards, cloud, Bluetooth and ZigBee protocols. The first model is an IoT healthcare system that employs various sensors to collect heart rate and motion data. The second model is a home automation system that utilizes a DHT11 sensor to measure temperature and humidity levels, a MQ2 sensor to detect gas leaks, and an ultrasonic sensor to control the garage door's opening and closing. Both systems are built around an Arduino or a Raspberry pi microcontrollers integrated with an Android mobile application to process and transmit data via Bluetooth or Zigbee ensuring that the mobile app receives real-time updates.
Opportunities and accessibility challenges for open-source general-purpose home automation mobile applications for visually disabled users
The Internet of Things approaches applied in the context of home automation have been an important promise to improve the lives of users with visual impairments. However, there are few research studies that result in well-established techniques and guidelines for making these applications accessible for use with screen reading software or other adjustments required by visually impaired users. This article presents an analysis of design features to help design more affordable mobile home automation applications for visually impaired users. The analysis was carried out through tests by seven visually impaired users on a prototype developed in previous studies. Despite the limitations in the proof-of-concept prototype used in this study, users found the application promising and highlighted the need for improvements in the field, highlighting the opportunities to provide home automation applications to enhance independent living scenarios. The article also shows the challenges to be faced in these applications, considering the current limitations with support for mobile interaction through screen readers for applications that are very intensive in terms of dynamic elements and the need for immediate and accurate feedback.
Emotional AI and the future of wellbeing in the post-pandemic workplace
This paper interrogates the growing pervasiveness of affect recognition tools as an emerging layer human-centric automated management in the global workplace. While vendors tout the neoliberal incentives of emotion-recognition technology as a pre-eminent tool of workplace wellness, we argue that emotional AI recalibrates the horizons of capital not by expanding outward into the consumer realm (like surveillance capitalism). Rather, as a new genus of digital Taylorism, it turns inward, passing through the corporeal exterior to extract greater surplus value and managerial control from the affective states of workers. Thus, empathic surveillance signals a profound shift in the ontology of human labor relations. In the emotionally quantified workplace, employees are no longer simply seen as physical capital, but conduits of actuarial and statistical intelligence gleaned from their most intimate subjective states. As a result, affect-driven automated management means that priority is often given to actuarial rather than human-centered managerial decisions.
Design and Evaluation of a Biometric IoT-Based Smart Lock System with Real-Time Monitoring and Alert Mechanisms
A smart door lock system based on IoT is presented which uses fingerprint biometric authentication, ESP32 microcontroller and Blynk IoT platform to provide a secure, user friendly and remote controllable access control solution. The proposed architecture replaces traditional locks with a real time biometric system that gives instant feedback through onboard display (OLED) and buzzer and remote monitoring and control through a mobile app. A new fail-safe mechanism is implemented: after 3 failed fingerprint attempts the system will lock out for 15 seconds and send instant alert to the authorized user’s smartphone. Performance test of the prototype shows fingerprint recognition time of around 1.0 second and door unlock time of 5 seconds, so it’s convenient to use. The system has a very low False Acceptance Rate (FAR) of 1.32% which means strong resistance to unauthorized access. The False Rejection Rate (FRR) is higher (around 26.32%) due to user error such as improper finger placement – so a usability issue to be addressed. The device can store up to 3 fingerprint profiles and gives visual/audible alert for all access events. This integration of IoT with biometric security not only enhances physical security but also user convenience, a modern smart-lock solution for smart home automation.
Ethereum for Internet of Things security
The influence of Internet of Things (IoT) is growing exponentially in the consumer patterns and will continue to increase in the coming years. With millions of interconnected devices over the internet, IoT is currently running into its monumental security and centralization issues that can be resolved using Blockchain. This paper aims to demonstrate the use of a smart contract on a private Ethereum Blockchain (also known as permission less Blockchain) to check whether a user holds enough tokens to utilize a service. Private in this context implies a private instance of the Ethereum implementation in which we make use of the same security and principles of the Ethereum main chain on a personal network of connected IoT devices which improves the overall privacy and security of the system than the traditional schemes. The proposed model consists of a target IoT device controlled by a Raspberry Pi, running a client application that makes decisions based on the state of the smart contract. With this environment, we are able to achieve the following goals: (1) no data leaves the private network (2) all services are employed with transparency and accountability (3) only registered devices can issue requests for using a service. Although the demonstration is made on a home network, the model presented in this paper can be utilized in commercial environments where any service can be availed from a wide array of smart devices through a mobile application.
An Examination of Gain- and Loss-Framed Messaging on Smart Home Security Training Programs
The Internet of Things (IoT) has gained popularity among home consumers due to its characteristics related to automation, information gathering, and purported physical security benefits. In an effort to capitalize on an expanding market, IoT developers have rushed products to market without proper due diligence regarding device cybersecurity. By being more focused on the utility and convenience of IoT devices without being concerned about their devices’ inherent security flaws, consumers may be unwittingly putting themselves at risk. Gain- and loss-framed messaging has been an extensively studied form of persuasive communication in other research fields but has not been previously examined in the context of information security research. Using an experimental design, we assess the efficacy of applying gain- and loss-framed principles to a security education training and awareness (SETA) program designed to bolster IoT users’ concerns related to pertinent IoT-based threats and provide information about their corresponding countermeasures. We found that for consumers with low initial IoT security concerns, loss-framed messaging is more effective in increasing security concerns. For consumers with higher initial concerns, messages focusing on desirable outcomes, regardless of an overall gain- or loss-framed message valence, are effective at increasing IoT security concerns.
Portable Python Projects
Get to know the latest Raspberry Pi hardware, and create awesome automation solutions for home or work that don't require an electronics degree, cumbersome add-ons, or expensive third-party subscription services. Create easy-to-run Python scripts on your own that make your Pi do things that would have required a team of automation experts to build only a few years ago. Connect to and control popular home automation lighting systems from a Raspberry Pi. Trigger autonomous actions based on movement, temperature, and timer events. Power on your own computer and appliances using your voice. Remotely control infrared-enabled consumer electronics, create chatbots to retrieve personalized items of interest, and implement a temperature-monitoring room fan. These are just some of the projects that the book will show you how to make. Most projects can be completed and operational in under an hour, and do not require any messy schematics or a spaghetti bowl of wires and breadboard-attached circuits to operate. Control your home or office exactly the way you want instead of relying on an expensive mysterious box of third-party technology to do it for you.
Software Testing Techniques for Improving the Quality of Smart-Home IoT Systems
Software is present in any modern device and is one of the most important components of a new product. IoT systems for smart homes have become more popular in recent years, and testing these systems using advanced methods is very important because it should improve software quality from the beginning of development, resulting in a faster product development overall and a better user experience for the client. In this paper, we describe methods of how to build fast quality assurance software for automation testing in comparison with current trends. Those methods are applicable to teams that are using custom test automation frameworks and working in big projects. The methods have already been applied with success in testing infotainment systems in the automotive industry and our custom-made smart-home IoT system. We will present the system and testing techniques used for testing web interfaces, mobile applications, cross-platform mobile applications, and backend using a new design pattern, called ‘Locate, Execute, Expect’. We compare this new design pattern against Page Object Model and will guide you on how to integrate it in an existing project or how to use it with Gherkin. In conclusion, we will see the main advantages of using this technique and how much faster it is in a real-life scenario, we will learn how it can replace Gherkin, and we will also see the main disadvantages.
Internet of things and smart environments : assistive technologies for disability, dementia, and aging
This book is focused on the Internet of Things (IoT) services and smart environments that can be of assistance to the elderly and individuals living with dementia or some sensory impairment.The book outlines the requirements of the systems that aim to furnish some digital sensory or cognitive assistance to the individuals and their caregivers.