With 25+ years of experience in software development, Itransition can swiftly integrate IoT technologies into your smart home business, ensuring the safety and security of the implemented solutions.
The global smart home automation market is under the sway of advanced technologies. Still, many people perceive smart homes as a luxurious lifestyle rather than a necessity, so it can be challenging for users to relate the high costs of smart home appliances and their actual necessity. Though on a staggering basis, the market is growing.
The expected value of the global smart home market by 2028
Markets and Markets
The revenue share of the home security and access control segment
Grand View Research
The CAGR of the fastest-growing Asia Pacific segment from 2023 to 2030
Grand View Research
A home electronic and appliance leader, LG provides its customers with an interactive LG ThinQ application to control refrigerators, laundry machines, air conditioners, and vacuum cleaners. LG IoT products are powered with voice control capabilities, an AI platform, and machine learning technologies. Smart devices can receive voice commands connected with Alexa or Google Assistant.
With the LG ThinQ refrigerator, users can remotely control its temperature, adjust the speed of the ice maker, get a smart diagnosis of fridge condition, track food in the fridge, and receive alerts on the products’ expiration date or the door left open.
Using the ThinQ application, users can start and finish washing cycles remotely, select an optimal washing and drying cycle, and receive notifications on scheduled appliance maintenance.
LG ThinQ enables users to start the device from anywhere, manage and monitor it, and stay informed about indoor air quality using a smartphone.
IoT-powered smart homes bring the house of the future closer to reality. Here are the top use cases of how IoT tech in smart homes is raising the standard of living.
Apps of IoT in Smart Homes
IoT architecture can vary from smart house to smart house, but it still follows a widely accepted general IoT architecture layout.
The device layer encompasses all interconnected smart devices and home appliances with sensors and actuators. The devices include smart lighting, video cameras, kitchen appliances, smart mirrors, air conditioning systems, and smart locks. Depending on the type, sensors catch and transmit the required information to the processing center. Sensors include humidity, motion, temperature, and gate control trackers. Conversely, actuators perform specific actions generated in the processing center on the IoT smart home devices, like switching off a light or turning on the HVAC or the washing machine.
The network layer includes communication protocols that IoT devices in a smart home use to communicate with each other, cloud storage, and mobile applications. Smart home devices use wireless technologies, such as Wi-Fi or cellular connection (4G/5G) to connect smart devices to the internet and cloud databases, or short-range communication protocols such as Zigbee or Bluetooth, for example, to communicate with each other, or Ethernet to connect with the home router.
The edge processing layer is not obligatory, but with the advancement of technology, more and more IoT manufacturers include edge computing capabilities in their devices. Edge devices can process the received data from sensors closer to their source without transmitting all the information to the cloud for further processing. Edge computing provides for faster and more cost-efficient IoT device utilization.
Despite the progressive edge computing development, IoT systems require a database for information storage and IoT-driven analytics. The cloud layer organizes vast amounts of data from IoT devices and acts as a central storage and processing hub. It ensures data safety and accessibility for analysis and decision-making.
At the application level, all the gathered data is presented to the IoT users or used as a source for automation decisions. IoT solutions for smart homes usually require a mobile application to access IoT-generated data. Users get insights into home conditions and manage smart home devices and appliances.
AWS IoT offers a full suite of services, from effective data processing and analytics to seamless device connection and control.
Despite the many benefits IoT home automation can bring, several challenges still impede the widespread adoption of smart home technologies.
The information transmitted between IoT devices and cloud storage contains personal and highly sensitive data, so the security of IoT devices and their connection is critical. Today, smart homes are becoming more and more sophisticated, and the increasing number of IoT devices per house significantly expands the attack surface for cybercriminals.
Smart home businesses should implement various security mechanisms when developing IoT solutions to protect their clients’ sensitive data. Apart from introducing standard security protocols, data encryption, secure user authentication, and regular firmware and software updates, companies should focus on local data processing. Instead of transmitting all data to the cloud, we recommend optimizing the data flow by introducing edge computing and AI. These technologies will reduce the devices’ dependency on the cloud, shift data processing closer to its source, and reduce the amount of transmitted data.
Creating a unified home automation system can be challenging for home residents due to incompatible devices from different manufacturers and service providers. Smart home businesses, in their turn, can also struggle with device interoperability, trying to launch IoT devices into the market and acquire new audiences.
Smart home businesses should consider adopting widely used standards and communication protocols to make their devices compatible with other manufacturers’ solutions. Popular communication protocols include WiFi, Zigbee, Z-Wave, and Matter. For instance, many IoT solution manufacturers today create devices compatible with various personal assistants like Alexa, Google Assistant, and Apple Home.
Less tech-savvy consumers need help with the setup and operation of IoT home automation systems, which, alongside poor device interoperability, can botch the overall user experience.
Smart home device manufacturers and software businesses should make their devices and systems user-friendly with intuitive interfaces and clear instructions for setup and operation. To get highly interoperable IoT systems and powerful apps with consistent UI, companies can entrust their development to an experienced vendor.
IoT systems require regular software updates and security patches. However, diagnosing and troubleshooting issues could be challenging. With a plethora of interconnected devices, pinpointing the source of an issue can be time-consuming and complex.
IoT system providers should apply robust maintenance strategies to ensure the effective performance of smart home solutions. They can apply bulk firmware updates on a farm of remote devices with the capability of a rollback. Scheduled maintenance won’t require user interaction and ensure the system’s flawless operation.
IoT for home automation goes hand in hand with other advanced tech that improves automation and security and helps create a comfortable and personalized living environment.
Big data analysis is crucial in enabling IoT home automation. Data processing frameworks and advanced analytics tools can efficiently derive insights from massive amounts of data generated by interconnected home devices and systems. These insights can help to automate various tasks within the home environment, optimizing and personalizing the user experience.
As technology evolves, artificial intelligence becomes inseparable from IoT-powered smart homes of the future. Learning from the home residents' habits and behavior patterns, AI can become the hidden ‘brains’ of the smart home. Recognizing patterns in the homeowners' behavior, AI helps to configure smart devices according to their preferences. Moreover, relying on the accumulated data, AI can analyze the house security system and suggest improvements to keep the home safe.
Edge computing in an IoT ecosystem brings data processing closer to the sensors and IoT devices, minimizing the need to transmit data to the cloud. Fog computing is similar to edge computing in processing and storing data: information is sent to the local fog node located between the network edge and the cloud. Despite their differences, fog and edge computing greatly enhance IoT home automation systems by reducing latency, improving network bandwidth efficiency, and strengthening data security.
Сomputer vision (CV) has become an integral part of IoT home automated systems. For example, powered with computer vision features, security solutions with facial recognition can help parents look after the kids or prevent strangers from entering the house. Based on the CV technology, people detection algorithms can detect a fall and distinguish between a fall and a sleeping or relaxed posture. This way, the solution facilitates caring for elderly people or people with disabilities.
Voice recognition technology enables homeowners to use natural language commands to run smart home devices and systems. Advanced machine learning models and NLP algorithms allow IoT systems to accurately interpret and execute commands. Whether it’s turning lights on, switching on music, or adjusting the thermostat, voice recognition eliminates manual interaction and gives users hands-free control of their homes.
With AR-powered IoT mobile applications, users can point their mobile devices at a building, room, or appliance to get visual overlays of their statuses, call a particular action and control the appliance directly from the screen of a single application. In addition, AR/VR allows homeowners to virtually redecorate existing interior design or visualize how a new piece of furniture will suit a room without physically moving anything.
The Internet of Things for home automation is building the future of our houses, bringing our quality of life to the next level. IoT makes our homes "smart’’, letting homeowners manage lighting, air conditioning, security systems, and home appliances with just one touch. Collecting data about users’ habits and behavior, interconnected smart devices can give valuable insights into users’ lifestyles for improvements. Moreover, advanced technologies like artificial intelligence, computer vision, and AR/VR augment IoT capabilities, allowing smart homes to learn from their users' behavior and preferences, making home automation more personalized than ever before. Do not hesitate to contact Itransition experts if you are looking for opportunities to implement an IoT-based smart home solution.
We provide professional IoT solution development services, delivering solutions that efficiently manage the network of diverse connected devices and generate real-time insights.
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